Agenda Highlights

Plenary Keynote: Excelling at Data in the Age of Digital Neo-Humanism
Roberto Maranca, Group Chief Data Officer, Lloyds Banking

Plenary Keynote: Data – the New ‘Oil’ or ‘Soil’? Sudaman TM, Chief Data Officer – Benelux Data Office, Allianz
Sudman TM, Regional CDO, Allianz Benelux

Data Governance Keynote: Data – The New Business Imperative
Anwar Mirza, Global Head of Data Governance, TNT

Data Governance Keynote: Company Leadership in the 21st Century Comes from Data Leadership
William McKnight, Consultant, McKnight Consulting Group

Leveraging GDPR to Embed a Sustainable Data Governance Organisation – A Case Study
Dan Robertson, Chief Data Officer, SSE
Ralf Teschner, Global Data Governance Lead, Capgemini

GDPR as a Data Governance Booster
Alberto Villari, Data Governance Manager, Yoox Net-a-Porter Group

The Resilience of the CDO
Sofia Alcala, Head of Data Governance, MBNA
Aaron Bradshaw, Data Quality Manager, MBNA

Data Strategy – Getting Value from Data
Kevin Fletcher, CDO, HM Revenue & Customs

BT’s GDPR Journey … a Transformational Approach to Personal Data Governance
Mark Hudson, Principal Enterprise Architect Lead for GDPR, British Telecom

Data Strategy Forever, for Everyone.
Mark Woodward, CDO, The National Trust

Top Tips for Doing Governance
Ieva Langenfelde, Global Master Data Governance and Quality Manager, FrieslandCampina

Determining the Value of our Data
Johanna Hutchinson, Head of Data, The Pension Regulator

From Accessory to Necessity – Embedding Data Governance in Business Operations
HoChun Ho, Global Head of Data Governance and Management, JLL
Justyna Malarska, Data Management Lead, EMEA, JLL

Working in the Wild West – Introducing Data Governance to an Un-Governed Space
James Palmer, Head of Data Governance, Southern Water

How Data Governance Delivers a Better (Data) Quality Environment
Nick Keen, National Lead – Data Governance, The Environment Agency
Simon Dimbylow, National Lead – Data Quality, The Environment Agency

Keynote & Featured Speakers

Testimonials

Sponsors

Fees

  • 4 Days
  • £1945
  • £1,945 + VAT (£389) = £2,334
  • 3 Days
  • £1595
  • £1,595 + VAT (£319) = £1,914
  • 2 Days
  • £1245
  • £1,245 + VAT (£249) = £1,494
  • 1 Day
  • £795
  • £795 + VAT (£159) = £954
Group Booking Discounts
Delegates
2-3 Delegates 10% discount
4-5 Delegates 20% discount
6+ Delegates 25% discount

Venue

  • Radisson Blu Portman Hotel
  • 22 Portman Square
  • London
  • W1H 7BG
  • UK

Join the conference group

Agenda

Monday, 14 May 2018: Pre-Conference Workshops
08:30 - 09:30
Registration
Full Day Workshops
MDM & RDM Quick Start Workshop

Aaron Zornes, Chief Research Officer, The MDM Institute

Here’s an excellent opportunity to improve your success as an enterprise/data/solutions architect or other IT professional embarking upon your first MDM or Data Governance initiative. During this fast-paced workshop, you’ll learn first-hand the best practice insights every IT professional must know to fast-track success and minimize risk. This is your pre-conference opportunity to meet with the “Godfather of MDM” to ask the questions and set your own personalized agenda to maximize your conference experience.

The speaker’s reputation for cutting through the hype to deliver a no-nonsense view of what you need to know will provide insights into proven approaches to delivering business value along with the insiders’ view of strategic implications of these fast-evolving technologies.

Combining presentations and case studies, this power session’s proven agenda is practical, personal and uniquely tailored on-site to the needs of the participants. The speakers will share real world insights from surveys and discussions with over 1,500 MDM programs to provide guidance concerning:

  • Initiating a successful MDM, RDM and/or MDG program
  • Convincing the business to take a leadership role with the goal to deliver measurable ROI
  • Choosing the right MDM, RDM and/or MDG solutions despite a rapidly churning market — multi-domain MDM, reference data management, hierarchy management, identity resolution, big data, social MDM, semantic databases and more

Smart MDM - a Best Practice Guide to Design and Implementation

Mike Ferguson, Managing Director, Intelligent Business Strategies

This workshop focusses on the end-to-end implementation of master data management and tries to address the hardest problems that arise in an MDM project. It looks at the broader picture of information governance, data quality and metadata management before applying these to an MDM project. It also addresses how machine learning and artificial intelligence are helping to automate discovery, profiling, semantic tagging, and cataloguing of master data that is scattered across many different data sources and how it can be classified to know how to govern it. It then looks at the design of MDM systems looking at distributed maintenance of master data while still maintaining integrity, inbound integration of master data to consolidate it into an MDM system and outbound synchronisation of master data to supply both operational and analytical systems. Different implementations are considered including master data virtualisation when you have a hybrid state of some master data consolidates and some not. In particular it looks at what needs to be considered when dealing with data integration and data synchronisation to achieve best practice in design and implementation. The session covers the following:

  • An introduction to data governance
  • An operating model for governing master data across the enterprise
  • Introducing a shared business vocabulary
  • Metadata management
  • Enterprise data quality and data integration
  • Why Master Data Management? – building a convincing business case for MDM
  • Smart MDM – Leveraging machine learning to automatically discover, profile, tag, catalog and classify master data
  • The role of the information catalog in MDM and reference data management
  • The main approaches to implementing MDM
  • What kind of MDM system are you building? – a System of Record, Centralised Master Data Entry System or both?
  • Understanding master data maintenance in your enterprise
  • Best practices in designing master data consolidation
    • Data capture techniques
    • The benefits of standardising inbound data to an MDM system
    • Should history be kept in an MDM system?
    • Approaches to cleansing, and matching
    • Consolidation vs. virtualising master data to create an MDM system
    • MDM in the cloud – is this a better option?
    • Enriching master data using Big Data Analytics
    • Matching at scale – leveraging Hadoop and HBase for scalable master data matching
  • Best practices in designing outbound master data synchronisation
    • Integrating an MDM system with an enterprise service bus for outbound synchronisation of operational systems
    • Schema and integrity synchronisation problems that can occur and what to do about them
    • Conflict resolution on outbound synchronisation
    • Design considerations when integrating MDM with ETL tools for synchronising data warehouses and data marts
  • Distributed master data maintenance – can blockchain or NewSQL distributed relational databases help with master data integrity?
  • Accelerating master data queries using graph query processing and graph analytics
  • Maximising the use of data virtualisation in MDM
  • The implications of switching to centralised master data entry
  • The change management program imposed by centralised master data entry

09:30 - 17:00
MDM & RDM Quick Start Workshop

Aaron Zornes, Chief Research Officer, The MDM Institute

Aaron Zornes

Chief Research Officer, The MDM Institute

Aaron Zornes is the founder and chief research officer of the MDM Institute (formerly the CDI-MDM Institute). Mr. Zornes is a noted speaker and author on Global 2000 enterprise IT issues and is the most quoted industry analyst on the topics of master data management (MDM), customer data integration (CDI), and data governance. Mr. Zornes is also the editor and lead contributor to DM Review’s CDI and MDM Newsletters as well as the monthly columnist for both CDI and MDM. Prior to founding the MDM Institute, he was founder and executive VP of META Group’s largest research advisory practice for 15 years. Mr. Zornes also held line and strategic management roles in leading vendor and user organizations, including executive and managerial positions at Ingres Corp., Wang, Software AG of North America, and Cincom Systems. Mr. Zornes received his M.S. in Management Information Systems from the University of Arizona.

 

Smart MDM - a Best Practice Guide to Design and Implementation

Mike Ferguson, Managing Director, Intelligent Business Strategies

Mike Ferguson

Managing Director

Intelligent Business Strategies

Mike Ferguson is Managing Director of Intelligent Business Strategies Limited.  As an analyst and consultant he specialises in business intelligence / analytics, data management, big data and enterprise architecture.  With over 35 years of IT experience, Mike has consulted for dozens of companies on business intelligence strategy, technology selection, enterprise architecture and data management.  He has spoken at events all over the world and written numerous articles.  Formerly he was a principal and co-founder of Codd and Date Europe Limited – the inventors of the Relational Model, a Chief Architect at Teradata on the Teradata DBMS and European Managing Director of Database Associates.  He teaches popular master classes in Big Data, Predictive and Advanced Analytics, Fast Data and Real-time Analytics, Enterprise Data Governance, Master Data Management, Data Virtualisation, Building an Enterprise Data Lake and Enterprise Architecture.  Follow Mike on Twitter @mikeferguson1.

Morning Workshops
Data Governance: A Critical Success Factor for Data Lakes

Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners

Data lakes have been characterized by a rush to technology innovation with little thought about anything else. While this approach leads to a fast technical deployment, it nearly always leads to wasted effort and resources as the needs of the data are ignored. This tutorial describes the leading role that Data Governance must play to make a data lake successful. The special needs of data lakes that Data Governance must provide solutions for are examined. Important among these are Data Acquisition, Data Legal Privacy and Compliance (both from contractual and data protection aspects), and the need for a Data Catalog. The way in which Data Governance must work together with a variety of other organizational units in the context of the data lake is also explored, with special emphasis on Data Architecture, Procurement, Legal, Compliance, and IT Security. Additionally, the utilization of a Data-centric Development Lifecycle methodology is described, highlighting how Data Scientists must be involved. The emerging tools for Data Governance and Data Management are also examined.

Attendees will learn:

  • The basic structure of data lakes and the overall role of Data Governance
  • The tasks that Data Governance has to perform for a data lake to be successful
  • How Data Governance must work with other organizational units to achieve its goals
  • A deep dive into Data Acquisition
  • How a Data-centric Development Lifecycle approach is used for projects around the data lake

Bootstrap your Data Governance Program

Jan Henderyckx, Managing Partner, Inpuls

You’ve been assigned the task of implementing data governance in your organisation. What should you do in the first phase of your mission? Should I simply create a board of data stewards and hope for the best? Data Governance has now been around for quite a while now and we are starting to see patterns that explain the difference between success and failure. Understanding what the value proposition of data governance can be is a great starting point for scoping your program. Defining the vision and mission that is understood by the business will help you embed your data governance activities. The basic set of tasks that are required will strongly depend on the use case you are addressing. Supporting analytics is not comparable with setting up master data management or providing your management with reporting capabilities.

Attendees will learn:

  • How you demonstrate data governance success and sell to your management
  • What use cases can benefit from data governance
  • How to define a good vision and mission for your program
  • How you can put KPI’s in place
  • What roles are required at the beginning of your journey
  • What collaboration options are efficient for accelerating your progress

Making Enterprise Data Quality a Reality

Nigel Turner, Principal Information Management Consultant EMEA, Global Data Strategy

Many organisations are recognising that tackling data quality (DQ) problems requires more than a series of tactical, one off improvement projects. By their nature many DQ problems extend across and often beyond an organisation. So the only way to address them is through an enterprise wide programme of data governance and DQ improvement activities embracing people, process and technology. This requires very different skills and approaches from those needed on many traditional DQ projects.

If you attend this workshop you will leave more ready and able to make the case for and deliver enterprise wide data governance & DQ across your organisation. This highly interactive workshop will also give you the opportunity to tackle the problems of a fictional (but highly realistic) company who are experiencing end to end data quality & data governance challenges. This will enable you to practise some of the key techniques in a safe, fun environment before trying them out for real in your own organisations.

Run by Nigel Turner of Global Data Strategy, the workshop will draw on his extensive personal knowledge of initiating & implementing successful enterprise DQ and data governance in major organisations, including British Telecommunications and several other major companies. The approaches outlined in this session really do work.

The workshop will cover:

  • What differentiates enterprise DQ from traditional project based DQ approaches
  • How to take the first steps in enterprise DQ
  • Applying a practical Data Governance Framework
  • Making the case for investment in DQ and data governance
  • How to deliver the benefits – people, process & technology
  • Real life case studies – key do’s and don’ts
  • Practice case study – getting enterprise DQ off the ground in a hotel chain
  • Key lessons learned and maxims for success

Selecting from the Data Platforms to Create a Modern Data Architecture

William McKnight, President, McKnight Consulting Group

We must grow the data capabilities of our organization to fully deal with the many and varied forms of data. This cannot be accomplished without an intense focus on the many and growing technical bases that can be used to store, view and manage data. There are many now, more than ever, that have merit in organizations today.

Consider this non-mutually exclusive list:

  • The Enterprise Data Warehouse
  • Dependent Data Marts
  • Independent Data Marts
  • Analytical Data Marts
  • Operational Databases
  • Open Source Databases
  • In-Memory Databases
  • GPU Databases
  • Columnar Databases
  • Cloud Storage
  • Multidimensional Databases
  • Stream Processing
  • Master Data Management
  • (Hadoop) Data Lake
  • Hadoop Analytic Workloads
  • Training Data for Machine Learning & Artificial Intelligence (AI)
  • NoSQL Databases
  • NewSQL Databases
  • Operational Data Store
  • Graph Databases

This class sorts out the valuable data stores, how they work, what workloads they are good for and how to build the data foundation for a modern competitive enterprise.

You Will Learn:

  • Knowledge of all major data platforms for your corporate data
  • The role of Data Integration and Data Virtualization
  • Steps in Moving to the Desired Platforms and Architecture

09:30 - 12:45
Data Governance: A Critical Success Factor for Data Lakes

Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners

Malcolm Chisholm

Chief Innovation Officer

First San Francisco Partners

Malcolm Chisholm has over 25 years’ experience in data management, and has worked in a variety of sectors, with a concentration on finance.   He is an independent consultant specializing in data governance, master/reference data management, metadata engineering, and the organization of Enterprise Information Management.  Malcolm has authored the books: “Managing Reference Data in Enterprise Databases”; “How to Build a Business Rules Engine”; and “Definitions in Information Management”.  He was awarded the DAMA International Professional Achievement Award for contributions to Master Data Management.  He holds an M.A. from the University of Oxford and a Ph.D. from the University of Bristol.

Bootstrap your Data Governance Program

Jan Henderyckx, Managing Partner, Inpuls     

Jan Henderyckx

Managing Partner

Inpuls     

Jan Henderyckx is a highly rated consultant, speaker and author who has been active in the field of Information Management and Relational Database Management since 1986. He has presented, moderated and taught workshops at many international conferences and User Group meetings worldwide. Jan’s experiences, combined with information architecture and management expertise, have enabled him to help many organisations to optimise the business value of their information assets. He has a vision for innovation and ability to translate visions into strategy. A verifiable track record in diverse industries including non-profit, retail, financial, sales, energy, public entities. Contributed to better stream lined and higher yielding operations for some of the leading businesses through a combination of creativity, technical skills, initiative and strong leaderships. He is a Director of the Belgium and Luxembourg chapter of DAMA (Data Management Association) and runs the Belgian Information Governance Council. He has published articles in many leading industry journals, and has been elected to the IDUG Speakers Hall of Fame, based upon numerous Best Speaker awards. Jan is Chair of the Presidents Council DAMA International.

Making Enterprise Data Quality a Reality

Nigel Turner, Principal Information Management Consultant EMEA, Global Data Strategy

Nigel Turner

Principal Information Management Consultant EMEA

Global Data Strategy

Nigel Turner is Principal Information Management Consultant for EMEA at Global Data Strategy Ltd. and Vice-Chair of the Data Management Association of the UK.  Nigel has worked in Information Management for over 25 years, both as an in-house implementer of Information Management solutions at British Telecommunications plc and subsequently as an external consultant to more than 150 clients, including the Environment Agency, British Gas, HSBC, Intel US and others.  Follow Nigel @@NigelTurner8

Selecting from the Data Platforms to Create a Modern Data Architecture
12:45 - 13:45
Lunch
Afternoon Workshops
Managing Data Value Creation and Controlling Risk

Jan Henderyckx, Managing Partner, Inpuls

“Get rich in 5 minutes without transpiration”. You have probably seen many adds that try to convince you that value can be creating quickly without running any risks. Almost all of these claims are proven to be false, unless you recently acquired and resold Bitcoins.

What does this mean for data based value creation? It’s essential that data is properly classified to assure that your organisation interact with the data in the most effective and efficient way. Often data classification is managed by the information security team but they often have a restrictive view on information that is limited to security and protection. Keeping risk, privacy, security and value creation separately is not only inefficient but rarely leads to proper management of the data. The business is therefore overwhelmed with request to classify, define, assess, … Having a commonly agreed framework for classifying information and apply a concerted set of control mechanisms will not only improve your effectiveness but will significantly reduce the business workload. You will also be able to maximise the use of the data by capturing the usage constraints of the data as early as possible. Any type of data ingestion will be able to have the appropriate level of metadata that is required for applying the relevant data management tasks.

Attendees will learn:

  • What the baseline is for governing data management
  • How proper policy management provides a framework for risk control
  • How to demonstrate regulatory compliance: GDPR, BCBS239, PCI/DSS, …
  • How CIA classification levels can be extended to support Data Value management
  • What lines of defence need to put in place
  • Which roles and processes are required
  • How to define requirements for data protection, data security, data integrity, data masking and data lifecycle management.
  • How to assure data is used ethically

Data at the Traffic Lights! - Data Governance and Data Quality

Ian Wallis, Defence Infrastructure Organisation (DIO)

Data is at the heart of every organisation but very few can certify that they have accurate, or good quality, data in all cases. As volumes of data grow exponentially the challenge increases, as does striking the balance between investing to maintain data to a high quality and the justifying the cost involved to do so. As data professionals, driving a coherent approach to data management is one of the biggest tasks we face and implementing data governance programmes can often be seen to be all cost and little benefit.

This workshop will explore the breadth of the task in establishing all the critical components that together lead to good data quality. At the same time, it will challenge those attending to articulate what good data quality looks like, and how to demonstrate value to the organisation from investing in data governance programmes. It will explore the lifecycle of data management, but will also endeavour to drive an interactive discussion to seek to provide real insights that can be deployed back in your own organisations.

Many data governance programmes are cited as being at a crossroads. Many have struggled to get traction, or been hindered by a lack of focus or commitment from senior stakeholders. Data quality is often reflected using a traffic light rating, hence the name of the workshop, and data quality is the visible evidence of the effectiveness of data governance.

‘Data at the traffic lights’ will enable attendees to:

  • Understand the link between data governance and data quality
  • Drive focus in data governance programmes to gain traction
  • Explore how to realise value from data governance programmes through demonstrating benefits
  • Learn from the shared experiences of the other delegates

Successful Reference Data Governance and Management

Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners

Reference data – often simply known as codes, lookups, or domains – is an area of enterprise data management that is becoming increasingly important. However, many enterprises have difficulty formulating governance programmes and management practices for reference data. This tutorial explains the overall structure needed for both reference data governance and reference data management. The very different roles need to manage external reference data (sourced from outside the enterprise) and internal reference data (produced wholly within the enterprise) are described. The options for environments for producing and distributing reference data are compared and contrasted. The significant role of semantics in reference data is also examined in detail, together with practical ways in which knowledge of reference data can be successfully managed. Additionally, the special aspects of quality in reference data are described.

Attendees will learn:

  • What reference data is, how it differs from other classes of data in its governance and management needs
  • The structures needed for successful reference data governance management
  • How the semantic needs of reference data can be addressed
  • How to deal with data quality in reference data content

Data Maturity: Evaluate It, Achieve It, Evolve It

William McKnight, President, McKnight Consulting Group

Maturity frameworks have varying levels of data management maturity. Each level corresponds to not only increased data maturity, but also increased organizational maturity and bottom-line ROI. There are recommended targets to achieve an effective information management program. The speaker’s maturity framework sequences the information management activities for your consideration. It is based on real client roadmaps. The class is a wealth of ideas for key quick wins to benefit the organization’s information management program.

While many organizations allocate budget to projects, the execution of the information projects (data warehouse, master data management, big data, analytics) provides innumerable decision points every day. It doesn’t take longer to make the best long-lasting decision. It takes know-how, which will be communicated in the class.

Students will self-assess their current information management capabilities in the class as we go through data strategy, organization, architecture, and technology, yielding an overall view of the current level of information management maturity.

This course provides a foundation for enhancing current capabilities and updating the strategy and plans for achievement of improved information management maturity, aligned with major initiatives.

You Will Learn:

  • How to move your Data maturity forward while satisfying business need
  • The importance of, and tips on, assigning workloads to their best platform, including introductions to Hadoop, NoSQL, Columnar Databases, MDM, In-Memory Databases, etc.
  • What maturing data strategy, technology, architecture and organization look like
  • The sequencing of activities in achieving information maturity
  • Where your knowledge deficiencies may be in leading your organization, and therefore what to learn more of

13:45 - 17:00
Managing Data Value Creation and Controlling Risk
Data at the Traffic Lights! - Data Governance and Data Quality

Ian Wallis, Head of Data, Analytics & Insight (DA&I), Defence Infrastructure Organisation (DIO)

Ian Wallis

Head of Data, Analytics & Insight (DA&I)

Defence Infrastructure Organisation (DIO)

Ian Wallis is Head of Data, Analytics & Insight (DA&I) at the Defence Infrastructure Organisation (DIO). DA&I’s role is to transform DIO into a data-driven, evidence-based organisation to support efficient use of £3.5bn of annual spending to enable the armed forces to live, work and train. Ian’s remit encompasses data management, business intelligence, MI and reporting, analytics and insight.  Ian has nearly thirty years’ experience in this field and has managed programmes in blue chip organisations, including data warehouse projects at organisations including Centrica and BBC. He has led analytics teams at HSBC, Royal Mail and The Pensions Regulator and delivered data management programmes at Thomson Reuters, Barclays and Arqiva.  Ian works for Aecom and is deployed through the Strategic Business Partner arrangement which has insourced private sector expertise to transform the DIO. Prior to this, Ian worked as an interim manager through his own company, Data Strategists.

Successful Reference Data Governance and Management
Data Maturity: Evaluate It, Achieve It, Evolve It
Tuesday 15 May 2018: Conference Day 1 & Exhibits
08:00 - 09:00
Registration
09:00 - 09:10
Data Governance Conference and MDM Summit Opening
Plenary Keynote: Excelling at Data in the Age of Digital Neo-Humanism

Roberto Maranca, CDO, Lloyds Banking Group

In a world where technological advancement is constantly beating any statement of impossibility, humans in their multiple roles of consumers, users and creators of data are now more than ever central to success in every CDO’s and Data Leaders endeavour. In fact human and data sciences are tantalising getting together to try to solve the numerous sociological and economical challenges of the 21st Century. This keynote will address the main factors to take into account, the methods to put in practice, and the trends to follow for the data practitioners.

What You Will Learn:

  • Why Data scientist should become proficient in human sciences (as well)
  • Why Big Data needs Big Emotional Intelligence
  • How to win future challenges integrating humans and machines

09:10 - 10:00
Plenary Keynote: Excelling at Data in the Age of Digital Neo-Humanism
Data Governance Keynote: Company Leadership in the 21st Century Comes from Data Leadership

William McKnight, President, McKnight Consulting Group

An increase in data leadership correlates to an increase in business success.

Every single item on a company mission statement relates to data at some level. It is from the position of data expertise that the mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data and projects that will deliver. After all, no matter what business you’re in, you’re in the business of information.

The data leader will anticipate the need — the voracious need — for data. If the need does not seem to exist, that is where to start. Commit to growing the data science at your organization. It’s simply not enough to be responsive to urgent requests and be the data leader that companies need.

The speaker will share from experience some of the hallmarks of mature, leading data environments that leaders will be guiding their data environments towards in the next few years, with the goal of helping true data leadership emerge.

  • Top Initiatives are all about data
  • Use of big data may define the winners
  • Data professionals sit on the keys to business success
  • How to bring initiatives to action

MDM Keynote: MDM-Driven Digital Transformation via “Systems of Engagement”

Aaron Zornes, Chief Research Officer, The MDM Institute

Market-leading enterprises are increasingly turbo-charging their digital transformation efforts by focusing on “master relationship management” style MDM. This next generation of MDM leverages Graph Database technology coupled with Big Data analytics. While traditional MDM purports to span the entire master data lifecycle, new dimensions such as Big Data, mobile, social, cloud and real-time are exerting tidal forces on the classic notion of MDM. Moreover, IT leadership struggles when selecting MDM software because the solutions are diverse with no single vendor able to meet all requirements and use cases. Given the prevalence of multiple MDM brands and architectures as a result, two relatively newcomers (Data Governance and Graph Database) are proposing to unify these silo’ed worlds to overcome both organisational and technical issues as well as market dogma.

The mega vendor-centric MDM offerings thwart the notion of heterogeneous data and process integration, and often lack pro-active Data Governance capabilities for end-to-end data lifecycle management. Concurrently, best-of-breed and niche vendors look to exploit this vacuum (cross-mega vendor governance and relationship management) yet are stymied by lack of resources and market traction. All MDM solution provider need to better focus on next-generation MDM requirements as we move from “system of record” to add “system of reference” and (ultimately) move into “system of engagement” wherein relationship-driven analytics form the foundation of MDM-innate, data-driven and context-driven applications to fully enable the digital enterprise.

Concurrently, mismatches in reference data (also called “enterprise dimensions”) affect the integrity of business intelligence reports and are also a common source of application integration failure. Due to the strategic nature of and difficulty to build/maintain custom reference data management (RDM) capabilities, savvy IT organisations and Finance departments are increasingly opting to buy and not build RDM solutions.

This plenary conference chairman keynote will review strategic planning assumptions such as:

  • Determining what your organisation should focus on in 2018-19 to initiate “master relationship management” via Data Governance & Graph Database7
  • Planning to leverage Big Data & RDM as part of an enterprise MDM program
  • Understanding where MDM, RDM & Data Governance are headed in the next 3-5 years

CDO Keynote: Information Governance and the CDO x.0

Jan Henderyckx, Managing Partner, Inpuls

There are many styles of Information Governance that range from prescriptive to supporting. Picking the right approach that matches your ambition and positioning of data in your business strategy is therefore crucial. Is the evolution of the CDO, or the way of using data for that matter, a transformation that turns a caterpillar into a butterfly or is it rather an expanding circle? Most likely the latter. Information- and data governance is at the core of the data roadmap regardless of the end objective if you want to have a sustainable and compliant value creation. In this keynote Jan will put forward a model that provides the basis for establishing a data centric culture and that allows to integrate the different perspectives of data.

Attendees will learn:

  • What kind of information governance styles can be applied
  • Which organisational structure as most suited for creating data value
  • How to best integrate with an analytics roadmap
  • How data governance tooling can support the value delivery

10:05 - 10:50
Data Governance Keynote: Company Leadership in the 21st Century Comes from Data Leadership
MDM Keynote: MDM-Driven Digital Transformation via “Systems of Engagement”
CDO Keynote: Information Governance and the CDO x.0
10:50 - 11:20
Networking Break and Exhibits
Data Governance Track
Data Governance Track
MDM Track
MDM Track
CDO Track
Data Governance Without a Mandate

Guy Harvey, Enterprise Data Governance Manager, Jaguar Land Rover

Data Governance is as much about business change as it is about data. Changing the way data is managed, access or created requires people to see the value that can be gained by coordinating and consolidating efforts to manage data better. Sometimes, people just don’t have time to sit back and reflect on what could be or have the opportunity to learn about best practices, so a more dictatorial approach from an Executive Officer is needed to drive change. But what happens if that isn’t forthcoming and you are left trying to implement Data Governance without a Sponsor or a mandate? This presentation will take you through various approaches, options and tactics that Guy Harvey deployed at various companies to get things moving and make progress without a sponsor or mandate.

Working in the Wild West - Introducing Data Governance to an Un-Governed Space

James Palmer, Head of Enterprise Data Governance, Southern Water

It’s been said many times that working in an ungoverned data environment is like working in the Wild West. The blame for Inconsistent reporting to executives, regulators or the business regularly gets aimed at the analyst or report writer. Confusion over whose responsibility it is to rectify the mistakes, whose data it actually is and which set of data is the most up-to-date are common place.

Who’s the Sherriff?

Introducing a business to Data Governance when un-governed data has been the normality for some time can seem daunting and will be perceived as extra work by the wider business. Many useful books and documents give many explanations on the How-To. This presentation is aimed at reality, highlighting some of the practicalities, barriers and emotions of implementation from the Executive to the ground floor.

Learning Objectives

  • An understanding of the business change involved in introducing data governance.
  • An understanding of the importance of the business consciousness of its data.
  • An understanding of an agile approach to implementation.

 

Discovering, Selecting, and Managing External Reference Data Sources

Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners

Reference data (also known as code tables and lookup tables) is becoming increasingly important in data governance and data management programs. A major component of Reference Data Management (RDM) is dealing with reference data that is governed outside of the enterprise, e.g. ISO-3166 Country Codes, and NACE industry codes. This presentation describes approaches to successfully dealing with these external sources. The difficulties of discovering and selecting the “right” external source are discussed, including how external sources can be mapped to conceptual models. The onboarding of external reference data, and the processes needed for this are also described. After the initial ingest, the need to keep up to date with the external source is explored, and the different update models that exist for these sources are described, with the various patterns that are available for RDM. Additionally, other concerns that will confront practitioners when working with external sources are covered.

Attendees will learn:

  • Practical approaches to discovering and selecting external sources of reference data
  • The processed needed to utilize external reference data and how to standardize these processes
  • How to deal with changes to external reference data

Your MDM “Altitude” Depends on Your “Attitude”

Amramanjari Singh, Data Quality Analyst, Thames Valley Housing

Established in 1966, the Thames Valley Housing Association (TVHA) is one of over 1,100 Housing Associations in England. With a vision for everyone to have a chance to build their lives from a base of a good home, and a mission of providing good quality affordable homes and invest in communities, TVHA works together and towards making a positive difference to the society.

Inevitably, for an organisation which directly or indirectly impacts so many lives there is an absolute necessity to master data that relates to compliance requirements, such as repair work and fire risk assessments etc. for the Properties and the Residents. This requires hybrid, multi-domain mastery of reference, master and analytical data for accurate decision support, operational and regulatory compliance requirements. To support this goal, TVHA applying a commercial MDM solution that leverages smart algorithms and material design to simplify data stewardship, governance and integration.

In this session TVHA will be presenting how the extent to which an organization passionately embraces MDM (your “attitude”) directly impacts the benefits to the community they serve (your “altitude”). The speaker will address these topics and more:

  • Establishing a flexible, scalable & robust housing association Property Model
  • Enhancing “Properties” hierarchy model to leverage “Estates”
  • Empowering staff for closed-loop involvement & informed decision-making

Lessons Learned from the IRM UK CDO Executive Forums Panel Discussion

Jan Henderyckx, Managing Partner, Inpuls

Five times over the last couple of years a selected group of CDO’s have met up for IRM UK’s CDO Executive Forum. The objective of the forum is to define best practices and exchange ideas on the role of the CDO in an organisation and to increase the impactfulness on the business outcome. As proper information usage is not just limited to the C-level the group decided that we wanted to share our findings and recommendations with a broader audience. Hence this session which is a compilation of “the best of” from our previous meetings. What delegates will learn from attending the session:

  • How information can be used as a business enabler
  • How to position your CDO in your organisation
  • What capabilities are required to be successful

The next IRM UK CDO Executive Forum will take place on 16 May during this conference – if you would like to apply to attend please e-mail jeremy.hall@irmuk.co.uk

11:20 - 12:05
Data Governance Without a Mandate

Guy Harvey, Senior Data Governance Manager, Jaguar Land Rover

Guy Harvey

Senior Data Governance Manager

Jaguar Land Rover

Guy Harvey has more than 27 years’ experience in helping business’ delivering value through the deployment data governance, data quality and business intelligence environments, this includes organisational changes required when implementing new data management practices. He takes a common-sense approach and pragmatism to deliver practical and workable solutions to new and existing data management challenges. He has worked his way up through data and information management functions so his knowledge comes from hard-earned experience, mistakes and plenty of practice. Having spent many years working with senior leaders, managers and end users to design, build and implement data management environments that infuse the need for policies, controls, standards, and accountability around data management, he is in an excellent position provide helpful advice.

Working in the Wild West - Introducing Data Governance to an Un-Governed Space
Discovering, Selecting, and Managing External Reference Data Sources
Your MDM “Altitude” Depends on Your “Attitude”

Amramanjari Singh, Data Quality Analyst, Thames Valley Housing

Amramanjari Singh

Data Quality Analyst

Thames Valley Housing

Amy has more than 7 years experience of handling complete life cycle of data, from data gathering, ETL, reporting to data analysis.  She is currently working as the data quality analyst for TVHA and also responsible for deploying and maintaining the Semarchy xDM tool for TVHA Master data management.

Lessons Learned from the IRM UK CDO Executive Forums Panel Discussion
How Data Governance Enables Digitalization: Business Comes First – Then IT

Annika Runert, Data Governance Lead, Öresundskraft & Håkan Edvinsson, CTO, Informed Decisions Consulting AB

This is an inspirational success story how Öresundskraft, a Swedish utility and communications company, let Data Governance (DG) work pave the way for business improvements, GDPR conformity, and digital transformations. The unusual in this is that all this started as a business initiative, rather than, more commonly, a data quality IT issue, driven from pains and shortcomings. Öresundskraft is a comprehensive energy and communication company with 260 000 customers and producing 3500 GWh yearly, always from renewable sources.

This story includes:

  • How the business went ahead of the IT department regarding data architecture skills.
  • How managerial attention was established and how a convincing business case for DG activities was formed.
  • How a “non-invasive” data governance approach was used to gain engagement among the business representatives.
  • How a business-friendly data modeling technique enabled the business representatives to take the lead and the ownership of business information architecture.
  • How the DG work is valuable for strategy fulfillment.
  • Challenges, such as organizational changes, solution-focused IT-projects, maturity variations and short memories.
  • The road ahead.

Rollout and Sustain Data Governance

Natalie Jakomis, Head of Data & Ben Evans, Data Governance Manager, Dwr Cymru Welsh Water

There needs to be a conscious effort to maintain ‘sustaining’ data governance. Rollout and sustain is not the last phase of a linear data governance process, but instead is a final step in a life-cycle. It is also never ending. Like data governance itself, the rollout and sustain phase of Welsh Waters Data Governance Programme represents the day-to-day activities.

Learn about the rollout and sustain activity Welsh Water are executing to ensure that everyone across the business understands how they are affected by Data Governance and therefore do things differently. Including:

  • Adopting a data governance operating model and implementing the
    right delivery approach, so data governance becomes business as
    usual
  • Collecting the right metrics, and reporting on success
  • Socialising and embedding data governance as a behaviour
  • Climbing the maturity curve
  • Being sensitive to what is really happening versus what is desired to
    happen

Building a Master Data Organisation Across 9 Data Domains and 60+ Stakeholders – Rooted in Business Benefits

Gavin Mander, Head of Data Services, Morrisons Supermarkets
Ralf Teschner, Global Information Governance Lead, Capgemini

Morrisons is a Yorkshire food retailer serving customers across the UK in almost 500 stores and an on-line home delivery service. Uniquely, they source and process most of the fresh food they sell through their own manufacturing facilities. They serve over 11 million customers per week with over 110,000 colleagues.

Two years ago Morrisons launched an ambitious Master Data programme to improve a data management capability which was struggling to engage with business stakeholders. They started by prioritising Product, Supplier and Location Data Domains and have subsequently moved across a further six domains: Customer, People, Supply Chain, Manufacturing, Finance and Wholesale.

They have created a Data Management organisation with Management Board sponsorship which regularly engages with upwards of 60 business stakeholders. There is a small central Data Management team working closely with business stakeholders who have the freedom to make the right data decisions for their organisation.

The sustained level of engagement has largely been driven by a continued focus on delivering significant business benefit – they have listened hard and responded to what is important to their stakeholders. The Data Management improvements they’re making are directly contributing to Morrisons strategic goals of being more competitive, serving customers better and simplifying and speeding up the organisation.

Alongside this Morrisons have a sustainable and credible methodology; this started with a focus on teamwork by putting in place the right people with the right processes and, as they have matured, investment in technology such as Master Data Management and Data Quality tools.

Summary:

  • How Morrisons secured and maintained active engagement across a large number of data domains and upwards of 60 business stakeholders
  • How they worked with a large consultancy to put in place a self-sufficient and sustainable Data Management organisation
  • Challenges they had measuring business value being delivered

The “Tiger Bird” That Exists in Your Customer Data

Leon Spight, Data & Analytics Programme Manager, The Rank Group

The Rank Group is a FTSE 250 gaming company based in the United Kingdom that is the UK’s largest casino operator. Today, Rank specialises in the regulated gaming segment of the entertainment market, bringing thrills and enjoyment to millions through brands that include Grosvenor Casinos, Mecca Bingo, Enracha and Sportsbook product. Rank’s brand teams serve more than 2.7 million customers per year, creating over 28 million across more than 100 communities. The business remains true to its founding mission to excite and its customers in their homes and on the move via a range of branded websites and mobile applications. Such ongoing digital transformation requires keen attention to customer master data.

Central to their evolving single and account wallet (SAW) business initiative, Rank is improving the experience of offline, online and mobile account use as the next step in creating the best multi-channel customer experience in the market. After successfully implementing the Profisee MDM solution to create a single view of customer across their multi-channel business, they began to identify issues with enrolling customers in special events while complying with strict regulatory requirements in the gaming industry. With customers participating in gaming at tables and terminals as well as online, Rank wanted to combine this offline and online customer activity and launched their SAW solution. By innovating with technology and services, concurrent with investing in team members and products, Rank is able to offer a truly multi-channel experience to its customers. This case study will present best practises related to:

  • Aligning master data strategies with key marketplace technology directions such as Microsoft Azure
  • Identifying & leveraging key MDM functionality such as matching & golden record management
  • Providing 24×7 data access in a resilient architecture

The Resilience of the CDO

Sofia Alcala, Head of Data Governance, MBNA
Aaron Bradshaw, Data Quality Manager, MBNA

For years Data Management practitioners have struggled to get any attention from the board. Current Data Regulation provides the ideal environment to help to change this. How can Data Management practitioners take advantage of this and move from “unauthorized Data Architects” to Influencers in our organizations? What are the characteristics of an influential CDO? What is it that we need to do to gain a stable chair at the Board? What is the emotional price we are paying for it? Are there practical ways to embed our value into the organization from day 1?

  • The challenge of changing the DNA of an organization
  • A new Impostor at the Board
  • The tangible value of Data Management
  • Data Trust Index: a practical methodology to embed Data Management as BAU

12:10 -12:55
How Data Governance Enables Digitalization: Business Comes First – Then IT

Annika Runert, Data Governance Lead, Öresundskraft

Annika Runert

Data Governance Lead

Öresundskraft

Annika Runert is the Data Governance Lead within Öresundskraft and is responsible for deploying data governance activities throughout the Öresundskraft Group. She has a background as product manager, project manager, customer development association chair, team leader, and as a legal executive.

Håkan Edvinsson, CTO, Informed Decisions

Håkan Edvinsson

CTO, Informed Decisions

Håkan Edvinsson is the CTO of Informed Decisions Consulting and an experienced facilitator, trainer and speaker. He has decades of experiences from information management in several industries. He is a contributing author of the DAMA Data Management Body of Knowledge (2nd edition) and the author of Enterprise Architecture Made Simple.

Rollout and Sustain Data Governance

Natalie Jakomis, Head of Data, Dwr Cymru Welsh Water

Natalie Jakomis

Head of Data

Dwr Cymru Welsh Water

Natalie Jakomis is Head of Data at Dwr Cymru Welsh Water. Natalie is responsible for building and embedding a Data Science capability, and cultivating a sustainable data and analytics culture. As well, Natalie is currently leading on the development and delivery of an enterprise data strategy at Dwr Cymru Welsh Water, beginning with enterprise wide data governance.  Follow Natalie on Twitter @NatalieJakomis

Ben Evans, Data Governance Manager, Dwr Cymru Welsh Water

Ben Evans

Data Governance Manager

Dwr Cymru Welsh Water

Ben Evans is a an experienced Change & Project management professional and certified Lean Six Sigma Black Belt with experience working at both Senior Executive and Operational levels with over 8 years’ experience creating and delivering change strategies for large scale complex programmes of work with a focus on business transformation, multi-function process improvements, procedure design, system development, strategy deployment and cost effective improvements. Follow Ben on Twitter @funkyBGE

Building a Master Data Organisation Across 9 Data Domains and 60+ Stakeholders – Rooted in Business Benefits

Gavin Mander, Head of Data Services, Morrison Supermarkets

Gavin Mander

Head of Data Services

Morrison Supermarkets

Gavin is the Head of Data Services at Morrisons Supermarkets. The role spans data governance, master data management, data quality, reporting and analytics across Retail channels, Supply Chain & Logistics, Manufacturing and Central business units.  His objective has been to create a data organisation which engages positively with business stakeholders, federating ownership and accountability for data decisions and enabling self-serve where possible. He is passionate about delivering business benefit from improvements in data management and putting better information in the hands of colleagues.  Gavin has 20 years experience within IT including involvement in major Programmes and operational teams within supplier, client and consulting organisations; across public and private sectors. He has created teams that have delivered strong data governance and information services to a range of business users; from traditional data warehouse to Big Data technologies. From a market sector perspective, recent experience is within Retail following 10+ years within Health.”

 

Ralf Teschner, Global Data Governance Lead, Capgemini

Ralf Teschner

Global Data Governance Lead

Capgemini

Ralf is Capgemini’s Global Data Governance Lead and the primary author of Capgemini’s DG Framework ‘QuickStart’, aimed at large organisations with low to medium levels of DG maturity. He has delivered successful projects in Germany, the U.S., the Netherlands and the UK, where he is based. Ralf has 25 years of experience in Consulting and business value development, including 14 years in IT and Data Management transformation programmes across industry sectors. His areas of expertise cover DG at executive and operational levels (Business and IT), Information Strategy, Data Quality, MDM, Reference Data and more recently managing GDPR compliance programmes.  Follow Ralf on Twitter @ralfteschner

The “Tiger Bird” That Exists in Your Customer Data

Leon Spight, Data & Analytics Programme Manager, The Rank Group

Leon Spight

Data & Analytics Programme Manager

The Rank Group

As Programme Manager at The Rank Group, Leon Spight is responsible for the MDM and Data Governance programs for the company’s single and account wallet (SAW) initiative who brings his PRINCE2 & MSP-certified Infrastructure (and transformation) into effect. Prior to Rank, Mr. Spight’s extensive experience, gained predominantly in the investment banking, insurance and retail industries, managing very large budget projects at enterprises such as RBS Group, Legal & General and Marks & Spencer.  He received his formal degrees from Oxford Brookes University and Christ College, Brecon.

The Resilience of the CDO

Sofia Alcala, Head of Data Governance, MBNA

Aaron Bradshaw, Data Quality Manager, MBNA

Aaron Bradshaw

Data Quality Manager

MBNA

Aaron works for MBNA as the Data Quality Manager. He is always finding creative ways to educate the business in Data Quality Dimensions and the importance of measurement as the first step to manage our data.  Aaron has 10 years of Data Management experience, having covered different disciplines during his career path: Analytical and Operational Systems Development, Design and Data Migration, combining the role of single contributor as well as technical lead.

12:55 - 14:25
Networking Lunch & Exhibits
13:25 - 13:50
Perspective Session
Perspective Session
13:55 - 14:20
Perspective Session
Perspective Session
Data Quality – What is Missing in the Success Equation?

Saima Iqbal, Enterprise Data Architect, Proximus

In this digital world, data has begun to be treated as an asset. Organisations that care about their customers and their financial success are running data transformation or similar programs to become data driven and to achieve the expected information quality level.  When data quality expectations are not met, what is missing in the equation then? This talk aims to provide answer to this question via:

  • Define meaning of data quality
  • Data or process problem
  • Where are data pains
  • Use it as a driver for data governance
  • Plan to ease current data pain
  • Plan proactive control
  • Create link in between data quality and company
  • Measure and share success

From Accessory to Necessity - Embedding Data Governance in Business Operations

HoChun Ho, Global Head, Data Governance and Management, JLL
Justyna Malarska, Data Management Lead EMEA, JLL

Effective data governance is a key enabler for business to gain competitive advantage. However, many of the components of a data governance program are not well understood or considered core business capabilities. Data stewardship, data policies and standards, data quality, critical data elements and thorough understanding of data assets are not always adequately funded. This presentation will review JLL’s journey to successfully transform data governance from a novel concept to an embedded capability in the business operations, supported by people, process and technology.

JLL launched the data governance function about five years ago. Like other organizations that established data governance, JLL faced various challenges as it moved up the maturity curve. With a clear vision, carefully planned timing, and practical execution, they were able to introduce the data governance building blocks and make them highly relevant to the business operations. In this presentation, JLL will share their unique approach and results:

  • What are the data governance building blocks and how they contribute to tangible business outcome
  • How to implement data governance and make it highly relevant to the business in every step
  • How to proactively transform the organization with data governance

Implementing Product MDM In a Global Enterprise

Roxane Roche, Master Data Process Referent, bioMérieux SA
Julien Serre, Master Data Program Manager, bioMérieux SA

For more than 50 years, bioMérieux has been a global leader in “In Vitro Diagnostics”. The company has always been driven by a pioneering spirit and unrelenting commitment to improve public health worldwide.  Today, in more than 150 countries through 42 subsidiaries and a large network of distributors, bioMérieux provides diagnostic solutions that improve patient health and ensure consumer safety.  bioMérieux has revenues of €2.1 billion (2016) with 90% of sales occurring outside France.

Managing Product master data in the highly regulated world of In Vitro Diagnostics is a challenge that broadly applies to Product master data in many other industries. The summary view is how to make a large global network of users work together to make bioMérieux Product master data accurate, traceable and under control. By using MDM software (Orchestra Networks EBX) bioMérieux manages 18,000 products by enabling 450+ users to collaboratively work with the help of workflows. This 2 year old project has allowed bioMérieux to achieve its new way to manage Product master data. This presentation will be very informative for organisations dealing with regulatory constraints like UDI and who wish to get hints on how to build effective and strong Data Governance to get back control of their Product master data. The attendees will receive an overview of a complex successful master data project dealing with new processes, new organization structures and a new tool.  Topics include:

  • Launching a new master data program via sponsor engagement & commitment
  • Starting with the construction of a new data model compliant with Unique Device Identifier (UID)
  • Building strong Data Governance based on a Key User & Data Owner network

Determining the Value of our Data

Dr. Johanna Hutchinson, Head of Data, The Pensions Regulator

Whilst our business partners pivot between the highs and lows of the hype curve on their data journey, the data team are tasked with steering the business towards where the data can have the most impact. The value of data differs by business and indeed by business area as does the impact that it can have. But where is the greatest value to the data we hold? Is it always in the profit margins; efficiency and increasing sales? What’s the true value of data which runs public services, identifies criminals, gives greater insight on a sector and manages our personal records? How can we find this for our organisation and how do we lead the organisation to resource and invest across a profile of high impact data-driven initiatives.

  • Innovating – In search of data to add value
  • Learning where true value lies in the business
  • Landing this work back into the business

14:25 - 15:10
Data Quality – What is Missing in the Success Equation?

Saima Iqbal, Enterprise Data Architect, Proximus

Saima Iqbal

Enterprise Data Architect

Proximus

Saima gained expertise in the Data domain after working for more than 15 years in the fields of Data Architecture, Data Governance, Data Management and Requirements Engineering.  She did this by developing and designing strategy and solution architecture for: data governance framework, data quality framework, integration of distributed heterogeneous scientific data, optimized storage and data access, data integration and database administration; and (across value chains and support chains) data quality architecture, group business glossary architecture, business data requirements modeling, data lineage and information architecture.  She also has experience of BI data marts and data warehousing ETL process designing and developing. This experience shaped her as a Data Leader with a strong belief that ”Data is a Vital Asset” of this Digital World.

From Accessory to Necessity - Embedding Data Governance in Business Operations

HoChun Ho, Global Head of Data Governance and Management, JLL

Justyna Malarska, Data Management Lead, EMEA, JLL

Justyna Malarska

Data Management Lead, EMEA

JLL

Justyna is Regional Data Management Lead at JLL. She has over 10 years of experience in various data related roles. Her expertise is focused around master data management implementations, data migrations, data quality management, process automation and simplification projects. She’s an innovation enthusiast. Having worked on both business and IT side, she’s able to successfully bridge the gap between business needs and IT domain. She’s a PRINCE2 certified project manager with several years of IT project management experience. Justyna received her Master’s degree in Quantitative Methods in Economics and Information Systems from Warsaw Schools of Economics. Her post-graduate study was focused on Knowledge Management in Information Systems. She speaks Polish, English and Italian fluently

Key Factors for Selecting & Implementing “Agile” MDM, Speaker & Company TBC
Implementing Product MDM In a Global Enterprise

Roxane Roche, Master Data Process Referent, bioMérieux SA

Roxane Roche

Master Data Process Referent

bioMérieux SA

Roxane graduated with a engineer degree in IT in 2013and she has been working for bioMérieux for 4 years. She started with 2 years specialising in the data migration from ERP to SAP for a worldwide SAP implementation project. During that project Roxane built an expertise on the master data managed in the company.  She was then hired as a Master Data process Referent. For more than 2 years she has been dedicated to bioMérieux master data management program as the Business representative. Gathering business needs and making sure they are met, her job is highly dependent on other functions in the company and is always challenging. bioMérieux successfully went live with their product master data management system and now Roxane is working both on improving it and launching a new initiative on customer master data.

Julien Serre, Master Data Operations & MDM Program Manager, bioMérieux SA

Julien Serre

Master Data Operations & MDM Program Manager

bioMérieux SA

Julien has 9 years of experience in Master Data Management (products, customers, vendors, price).  He leads the MDM team (10 people) at bioMerieux since May 2016. Since August 2017, he is also in charge of the MDM Program, which knew a first main achievement for Products data management in July 2017. Now bioMerieux are essentially focusing on customers data.  Their data is a major asset for the Company and his objective is to improve their quality, put them under control, be able to exchange them seamlessly with customers & regulatory bodies.

Determining the Value of our Data
The Data Governance Salesman

Michael McMorrow, Principal, MMM Data Perspectives

Success or failure of Data Governance programs is mainly down to the level of genuine commitment across the various human actors involved. Data Governance leaders should learn the psychological techniques deployed by great salesmen who know what subconscious buttons to push to sway behaviours.

This presentation will explore, with fascinating illustrations from psychological research and the presenters experience, some of the consistent flaws in human behaviour which drive decisioning and which skilled influencers can exploit.

Topics covered will include:

  • Reciprocation – uncomfortably strong desire to pay back favours
  • Commitment – fixation to avoid revisiting previously made decisions
  • Social Proof – urge to mirror the beliefs and actions of others
  • Authority – disturbing degree of submission to direction from authority figures
  • Subjective Biases – shortcuts to decisioning based on pre-conceptions.

We need a basic understanding of the messy way that people think, in particular if we want to influence them to do something that they don’t particularly want to. A great salesman, or a great Data Governance leader, makes them think that they really, really do want to.

Top Tips for Doing Governance

Ieva Langenfelde, Global Master Data Governance and Quality Manager, FrieslandCampina

In this session, Ieva will share lessons learnt at FrieslandCampina while they were setting up Data Governance from scratch.

  • Tip one: get ready to get dirty. Be ready to work hard, learn a lot, and be armed with lots of patience. Hear what were the (hard) lessons learnt for FrieslandCampina, and how to best prepare for the ride.
  • Tip two: demystify the scary monster. Make it not scary. Speak the human language, give real examples. Be one of them, stump speech won’t work.   Ieva will share how they turned the scary monster into their pet.
  • Tip three: get the right kind of crazies in your team. You have to have the right people to do this job. It takes two to tango, but it takes a whole bunch of crazies to do governance.

MDM is Rocket Science, Indeed! Fuelling Mobility as a Service

Bart Mol, Architect, PartsPoint Group
Ivo-Paul Tummers, CEO, Jibes

The automotive after-market is traditionally distributing vehicle parts and accessories to car dealers and specialised garages. This market experiences a fast change of its delivery and business model. The integration of various forms of transport services into a single mobility service accessible on demand is a trend. The mixture of an increasing variety of sources and receiving channels, as well as consuming channels requires a high-quality data. Master Data is fundamental to this strategy, but it is not limited to a technical implementation. In this session, we will explain the importance of unified governance and integration concepts. It will embrace the delicacy of the correct change management and need for conceptual thinking power. Making MDM rocket science.

Transforming Public Sector Services via MDM

Mark Brennan, Analyst Project Manager, London Borough of Camden

In 2013, the London Borough of Camden developed a Residents Index using IBM’s MDM platform. Camden realised that if they were to develop optimal joined up services for their residents then having an accurate citizen record was essential to this. The Camden Residents Index (CRI) unites information from multiple council data sources to create a single, consistent view of residents across the borough and the council services that they are accessing. The system uses sophisticated probabilistic matching techniques to link records from different business systems together to produce a single golden view of the citizen and the household.

During this session you will hear how one of London’s largest boroughs has put an MDM solution at the heart of its council-wide transformation. Mark Brennan was the main technical lead at Camden during the implementation phase of the project and has been heavily involved with the system since then. He will discuss the drivers behind the project and will give an overview of the system. He will run through some of the implementation challenges involved in linking data sets together and the key lessons learnt from the project. He will also run through how the system is currently used in Camden, the benefits realised since its implementation and Camden’s plans for the future. In addition, he will discuss how technology alone isn’t the solution and how an MDM system must fit into wider a data strategy/data governance programme.

Topics to be discussed include:

  • Embedding MDM right into an enterprise’s Digital Strategy to support Single View capabilities across former silos of information
  • Developing MDM as a key foundation enabler to support council wide Business Intelligence & advanced analytics
  • Planning for the next MDM phase by placing MDM at the heart of the council’s data strategy

Data Strategy - Getting Value from Data for the Public Sector

Kevin Fletcher, CDO, HM Revenue & Customs

HMRC sits at the centre of government, raising revenue of £575bn to fund public services from over 5 million business and 45 million individual customers. Being at the centre of government, HMRC are perfectly placed to use the value of their data to deliver sound policy advice, improve services, support customers pay the right tax and target interventions on those that choose not to pay.  All, of this is brought together in the HMRC data strategy.

In this talk, Kevin will explore how HMRC are getting the fundamental building blocks in place to establish a truly data-driven organisation, recognising the privilege and responsibility they have with the data they hold.   Kevin will discuss how HMRC are bringing together sophisticated tools and analytical techniques to gain insight and value from the data to drive business change. But, none of this is sufficient without consistent focus on culture change within the organisation, which this session will also explore.

In this session you will learn:

  • About HMRC strategic transformation and the central role data plays in this.
  • How to build a data strategy in a large operational organisation, recognising the importance of ministerial priorities and the complexity of the activities in the organisation.
  • The key ingredients for embedding a data culture at scale.

15:15 - 16:00
The Data Governance Salesman

Michael McMorrow, Principal, MMM Data Perspectives

Michael McMorrow

Principal

MMM Data Perspectives

Michael is Principal of MMM Data Perspectives, providing consultancy to businesses, and lecturing to business colleges, on common-sense approaches to organising, understanding and exploiting data. Prior to this Michael was Head of Information Solution Design at AIB Bank and the leading architect for the design, build and business use of the Enterprise Data Warehouse.  Michael was Chairman of the UK & Ireland Teradata User Group for two years and has presented and published widely on data-centric topics including governance, modelling and analytics. Michael has a B.A. in History of Art, Philosophy and Film Studies and an M.Sc.Management in Organisational Behaviour.

Top Tips for Doing Governance
MDM is Rocket Science, Indeed! Fuelling Mobility as a Service

Bart Mol, Enterprise Architect, PartsPoint Group

Bart Mol

Enterprise Architect

PartsPoint Group

Bart Mol is an Enterprise Architect with a strong vision how to guide digital transformations. With a back ground in Chemistry from the University of Groningen, Bart was one of the pioneers in the e-health space. From here he moved into digital organizations like MentalShare Direct and Beslist.nl, a leading webshopping centre. At PartsPoint Group he accepted the challenge to introduce digitalization into a traditional industry.

Ivo-Paul Tummers, Managing Director, Jibes

Ivo-Paul Tummers

Managing Director, Jibes

Ivo-Paul Tummers is CEO and founder of Jibes. A service provider offering information integration, governance and analytics skills. Today Jibes employs over 100 professionals on Continental Europe. Typical demand drivers are policy changes and transformational dynamics, where Ivo-Paul observes an increased interest for data craftsmanship.

Transforming Public Sector Services via MDM

Mark Brennan, Technical Lead, London Borough of Camden

Mark Brennan

Technical Lead

London Borough of Camden

Mark Brennan is an experienced IT Project Manager and technical specialist in the Shared Digital Service at the London Borough of Camden. He has over twenty years’ experience in both the public and private sector.  Mr. Brennan was the technical lead at Camden in the project to implement their MDM solution. He moved the project further forward with new interfaces and the development of a reporting data mart to maximise the use of Master Data for Business Intelligence.  Mr. Brennan was the technical lead  on the recent major upgrade from FWI to Mosaic, Camden’s social care system, and has led on numerous other system integration and digital transformation projects including implementing the Child Protection Information Sharing interface and new systems for the Early Years Service.  He received his BSc in Geography from the University of Durham.

Data Strategy - Getting Value from Data for the Public Sector
16:00 - 16:30
Networking Break & Exhibits
Multi-Platform Data Management - The Critical Importance Of An Information Catalog

Mike Ferguson, Managing Director, Intelligent Business Strategies

This session will discuss:

  • The data deluge – new data from hundreds or thousands of data sources
  • The complexity of managing data in multiple data stores on-premises and in the cloud
  • Approaches to multi-platform data management
  • Bringing order to chaos – the role of the information catalog and data management platform
  • Information catalog capabilities and technologies
  • Data ingestion and automated data discovery
  • Governing data across multiple systems using data classification and tag based policy management
  • Using the catalog to accelerating information production
  • Beyond data – adding data and analytical artefacts to the catalog
  • Shopping for data – Information consumers and the catalog

A Year in the Life of Data Governance – from Conception to Teething

Lindsay Towler, Product Information Manager, Arco
Stuart Squires, Managing Director EMEA, Comma Group

This talk explores Arco’s recent journey to set up their data governance organisation. They will focus on “why” Arco needed data governance, looking at the drivers that led to them embarking on their journey and how it fits into their wider strategic objectives. They will then delve into “how” they went about setting it up – the challenges they faced and the approach taken. They will then focus on what has ben delivered and how this has enabled Arco’s business to prepare for what comes next on their data journey. The talk will then reflect on learnings to date and explore what could have been done differently? Is the data governance supporting the initial “why” that led them to begin and crucially what comes next?

What delegates will learn:

  • How to prioritise your focus when embarking on a data governance journey
  • Getting the basics right sets you up for future success across new domains
  • How to make sure you embed Governance into your organisation rather than see it as a one off project activity

MDM as a Global Business Service

Stephane Englebert, GPO MDM & MDM CoE Manager AkzoNobel
Ard van der Staaij, Senior Manager, KPMG

Many organizations are in a journey to standardize and optimize their businesses in order to save costs and provide a better service to their customers. Master Data Management (MDM) should not be neglected in this journey. This session aims to convey the importance of MDM, to give practical guidance on how to service this as a global business service and which pre-requisites and pitfalls are relevant to take into account. AkzoNobel embarked this journey and is on its way to implement Master Data Services within their Global Business Services. For AkzoNobel this is a pre-requisite for standardization and integration of the global businesses.

  • Discover the benefits of organizing MDM as a global business service
  • How to setup the operating model of MDM within global business services and what can be delivered as a service
  • What are the challenges and lessons learned of the AkzoNobel journey

Driving Customer Centricity at Elsevier

Catherine Taylor, Head of Customer Data, Elsevier
Tom Perry, Director of Software Engineering (Data, Insights & Integration), Elsevier

Elsevier is part of the RELX Group, a multinational information and analytics company listed in the FTSE 100. Elsevier provides information and analytics that help institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity. As an information company it is imperative that Elsevier has high standards for the management of its own business data and is able to function efficiently and leverage business insights. This session will cover a case study of the journey Elsevier is taking to put the customer at the centre of their business. In May 2017 after a 2 year project Elsevier went live with a centralized Customer Hub to master customer information and drive a single view of organizational customer touchpoints across the Elsevier business. Attend this informative case study session to learn about the challenges faced and overcome and the many lessons learnt so far on this journey. The Elsevier environment is specifically challenging due to the volume of systems accepting customer data entry and conflicting requirements from multiple different business units. Hear about the general appetite awoken at Elsevier for clean de-duped customer data and the overall vision for MDM at Elsevier beyond customer. Specific topics to be addressed will include:

  • Pain points within our business that made us realise the need and justification for a customer master
  • People, processes and technology that allows us to have a joined up approach to solving our problems
  • Business benefits realized and unexpected insights gained

Data Strategy Forever, for Everyone.

Mark Woodward, CDO, The National Trust

The National Trust exists forever, for everyone. This presentation will talk about the challenges & aspirations in delivering & consuming data “forever, for everyone” .

  • The challenges with bringing a traditional, values based organisation on a Digital Transformation
  • Why all this “data stuff” isn’t as hard as we may think it is
  • The relationship between IT and the Business and why it’s as critical as ever

16:30 - 17:15
Multi-Platform Data Management - The Critical Importance Of An Information Catalog
A Year in the Life of Data Governance – from Conception to Teething

Lindsay Towler, Product Information Manager, Arco

Lindsay Towler

Product Information Manager

Arco

At Arco, Lindsay is responsible for Product Data Management, Product Data Quality and Governance. Lindsay managed the migration of disparate systems into one single source. She has delivered a new data model and structure to Arco’s Product Data, has introduced Governance to Arco and is currently managing the implementation of a PIM and the surrounding processes.

 

Stuart Squires, Managing Director EMEA, Comma Group

Stuart Squires

Managing Director EMEA

Comma Group

Stuart is an information management expert who over 19 years has worked his way from industry, through systems integrators and Big 4 Advisory to Comma. He has advised some of the largest companies in the world and has a vast experience of the data and information challenges that businesses face.

MDM as a Global Business Service

Stéphane Englebert, Global Process Owner Master Data Management, AkzoNobel

Stéphane Englebert

Global Process Owner Master Data Management

AkzoNobel

Stéphane Englebert is Global Process Owner Master Data Management at AkzoNobel and in this role leading a major MDM transformation to globalise MDM and deliver it as a central service to the organisation. Before embarking into AkzoNobel’s MDM journey in 2012, he managed several large SAP implementations within AkzoNobel Asia and previously in corporations such as Bridgestone Europe, Rolex Industries, Sanofi Pasteur and TE Connectivity.

Ard van der Staaij, Senior Manager, KPMG

Ard van der Staaij

Senior Manager

KPMG

Ard van der Staaij is a senior manager at KPMG Advisory’s Data & Analytics practice. Ard started as a SAP consultant and advised KPMG’s clients on topics related to business process management, audit & controls, security, asset management, continuous auditing & continuous controls (CA/CM) and data analytics. In his journey he specialized himself in Enterprise Data Management, with special focus on Master Data Management. Ard advised KPMG’s clients on multiple Master Data Management & Data Governance projects touching all characteristics of governance, processes, content & quality and systems & tooling. Recently Ard has advised AkzoNobel in their journey to setup Master Data Management as a global business service.

 

Driving Customer Centricity at Elsevier

Catherine Taylor, Head of Customer Data, Elsevier

Catherine Taylor

Head of Customer Data

Elsevier

Catherine is Head of Customer Data at Elsevier where, since 2014, she has fully focused on generating support for, designing and implementing the Customer MDM solution.  She is passionate about all things data and is helping the Elsevier business understand the importance of quality master data in gaining insight and informing decision making.  Prior to Elsevier Catherine lead a team of Data Business Analysts at ING Direct UK to shape the Data Warehouse and Business Intelligence solutions plus managed large scale data migrations of customer and account data.  She has worked across many industries including Media, Telco, Insurance and Retail, predominantly in data analysis, data modeling, data warehousing and data integration design.  Follow Catherine on Twitter @CTaylorMDM

Tom Perry, Director of Software Engineering (Data, Insights & Integration), Elsevier

Tom Perry

Director of Software Engineering (Data, Insights & Integration)

Elsevier

Tom is the Director of Data, Insights and Integration within Elsevier.  He has worked in the technology industry for 22 years starting within mainframe development, spreading to modern technologies and leadership roles across data driven initiatives.  Some of the industries he has worked on are a pan European policing system and highly resilient and transactional payment processing.

Data Strategy Forever, for Everyone.
17:15 - 18:30
Drinks Reception & Exhibits
Wednesday 16 May 2018: Conference Day 2 & Exhibits
Plenary Keynote: Data – the New ‘Oil’ or ‘Soil’?

Sudaman TM, Regional CDO, Allianz Benelux

In his Keynote, Sudaman will explain business value in the context of a world that is constantly and rapidly changing. He will discuss the relationship between business value and the value of people and he will try to answer the question – “Where’s the money and how can we ensure a creation of steady source of income rather than a one-time jackpot?” He will explain how data is an asset and the need for governance which is the ‘why’ and the ‘how’ of the data value management. This Keynote will then set the context for the intelligence which can be mathematically defined which connects to the data and the opportunity that data offers. He will explain the top 5 key points that everyone should remember to find value in data as they embark on their data governance journey.

Delegates will learn:

  • Where exactly does data governance fit in our business response to the changing world?
  • What is the mathematical definition of ‘intelligence’ and what is the contribution margin of data towards intelligence?
  • How to identify opportunity and where to look for it?

09:00 - 10:00
Plenary Keynote: Data – the New ‘Oil’ or ‘Soil’?
10:00 - 10:30
Networking Break & Exhibits
Data Governance Keynote: Data - The New Business Imperative

Anwar Mirza, Global Head of Data Governance, TNT

The need for CDOs, Data Scientists and Data teams is now more readily accepted, understood and mainstream in many organisations. Does this necessarily mean that the Data problems, solutions and value are equally understood and accepted? Are the different departments of an organisation adequately geared to deliver the benefits promised by the CDO?

This engaging Keynote will challenge the key players on their collaboration, evangelism, marketing, education and general awareness of the Data function. Anwar sets the scene for the conference to encourage attendees to structure their Data responsibilities in a consumable manner. With some practical experience of success and failure, he explains what must become the norm in order for the CDO and Data function to be accepted, grow and remain sustainable.

MDM Keynote: Field Reports for 'Top 20' MDM Solutions

Aaron Zornes, Chief Research Officer, The MDM Institute

Evaluating MDM solutions is comparable to purchasing your first home— too many new variables, lack of transparency in the pricing, and high-pressure sales tactics.

On top of this pressure, IT executives must contend with the marketing dogma of ongoing “stack wars” among the mega vendors and the dogmatic “we are the world” viewpoints of MDM and (even) Business Process Management (BPM) vendors.

To cope during 2018-19, many large enterprises will increasingly mandate a unified approach to governance of master/reference/meta data albeit with the option of more than one MDM solution provider.

This “no holds barred” keynote session will focus on the why and how of both MDM platform technical evaluations by providing insight into:

  • Understanding the pros & cons of the dominant architectural models & evaluation criteria— e.g., pro-active data governance, identity resolution, hierarchy management, scalability, Big Data & Cloud integration capabilities, etc.
  • Assessing the vendor landscape— e.g., registry, data hub, ultra-hub, Cloud/on-premise/hybrid, data service provider, BPM-centric, IPaaS, etc.
  • Applying a rigorous methodology to product evaluations for both mega vendor solutions (IBM MDM, Informatica MDM, Microsoft MDS, Oracle CDM, SAP MDG, SAS) & more pure play (Ataccama, Enterworks, IBI MD Center, Magnitude, Orchestra Networks, Profisee, Riversand, Semarchy, Stibo, Talend, Teradata, TIBCO, et al)

GDPR Keynote: The Data Governance Journey: Creating the Foundations to Ensure Climate-KIC Data is Trustworthy and GDPR Compliant

Lisa Bozek, Head of IT, Climate-KIC

Climate-KIC is Europe’s largest public-private innovation partnership focused on climate change, consisting of dynamic companies, the best academic institutions and the public sector.

Climate-KIC’s strategic plan sets out its intention to become a data-driven organisation with full control of its knowledge assets. To create the foundations for this, in 2016 Climate-KIC commissioned Entity Group to deliver an Information Management Strategy and accompanying roadmap.

Data Governance is an ongoing process, but some quick wins were identified in relation to people, processes and technology that Climate-KIC have implemented, creating the foundations from which their data quality and GDPR compliance initiatives can grow.

From this session delegates can expect to learn where to start when approaching data governance, how to setup and run a data governance group

10:30 - 11:15
Data Governance Keynote: Data - The New Business Imperative
MDM Keynote: Field Reports for 'Top 20' MDM Solutions
GDPR Keynote: The Data Governance Journey: Creating the Foundations to Ensure Climate-KIC Data is Trustworthy and GDPR Compliant

Lisa Bozek, Head of IT, Climate-KIC

Lisa Bozek

Head of IT

Climate-KIC

Lisa Bozek is the Head of IT at Climate-KIC. In her current role she is the Chair of the Data Governance Council and is leading the implementation of an Information Management strategy focussed on consolidation of master data to support a single view, improving data quality and GDPR compliance. She relies on her strong communication and relationship building skills to sell the promise of her programme to data stewards, senior management and inspire her team.

Data Governance Track
Data Governance Track
MDM Track
MDM Track
GDPR Track
Promoting a Data Centric Approach Within the Intellectual Property Office

Julie Daltrey, Data Architect, Intellectual Property Office
Mary Drabble, DG Consultant and Customer Success Manager, Agile Solutions

Agile Solutions were engaged “to perform an assessment of the IPO’s data governance maturity and to qualify a to-be data governance framework, based on people, process and technology levers”.  Their goal was to identify enablers and mechanisms through which the IPO can set up a sustainable data management framework and develop and mature its in-house capability.

In this session, hear directly from their client, about the challenges they faced including:

  • Raising awareness of data management processes and best practice
  • The obstacles: organisational, cultural and resource constraints that we had to overcome
  •  Educating the IPO about the importance of data governance

Relationships Matter - Doing Governance with Graphs

Nick Jones, Manager, Data Governance, Multifonds

Two years ago, Multifonds presented details of how they managed to start small and cheap in Governance. At that time, they also outlined a number of the areas they were hoping to advance into. This is a ‘progress-report’ in which they will first outline how they have used and enhanced the original dictionary to support development of a real-time data mart, and secondly cover the steps they took that led to Multifonds to selecting and starting implementation with a graph database that will take them forward towards their intended Meta Data Hub.

Multifonds are software developers, and that graph based Hub will eventually cover (inter alia) the meaning of the data stored by their software, its location(s) in storage, its usage in code and reports, and the relationships between all of these. It will also cover both the design and the implementation aspects of the PDLC; improving oversight.

This session will show:

  • Starting small and cheap worked.  Multifonds will illustrate how they have continued to extract value from the original investment.
  • No commercial offering had full-enough coverage in a low impact, low-cost solution to meet the wide range of needs Multifonds has from the Meta Data Hub
  • The approach used in graph databases for relationship modelling fits particularly well with their current governance needs, and provides maximum scope for future extensions.

Underpinning an MDM Approach with a Data Quality Strategy

Ellie Fitzpatrick, Data Governance Manager & Bethany Lancaster, Senior Data Governance Analyst, Yorkshire Building Society Group

A period of acquisition and mergers with a number of other building societies introduced increased systems and data sources with differing data structures and quality levels, posing challenges across all aspects of master data management: standards, definitions, creation, maintenance, quality and governance.

It has long been recognised that MDM is as much about people and process as technology, with technology being the enabler. At YBSG, following the implementation of our MDM technology, challenges remained with the organisation’s approach to data and cultural change needed to drive improved MDM. The role of the Data Governance Team at YBSG has been to drive this business focussed approach to MDM, underpinned by a business focussed Data Quality Strategy.
This case study from the Yorkshire Building Society Group will cover:

  • Using the DMAIC model to set out our approach
  • Building the capabilities required
  • The progress made and challenges faced

Expert Panel: Best Practices in MDM for PRODUCT Master

Moderator: Aaron Zornes, Chief Research Officer, The MDM Institute
Panelists: TBC

Enterprises continue to expand the scope and discover new complexities as they seek a “single view” of product data. What starts out as an organisation’s master Product data soon becomes a complex PIM (product information management) program spanning other domains and use cases (such as enterprise architecture, analytical MDM, and new product introduction (NPI) or product lifecycle management (PLM). Additionally, many organizations continue to struggle with how MDM of product data relates to ERP, CRM, data warehouse, and other master data initiatives. The end result is that MDM of Product data quickly becomes more complex and challenging for even type “A” IT organisations. This panel of experts has already navigated these certain of these journeys and will share their experience in:

  • Rationalizing between PIM-flavored MDM or MDM-flavored PIM
  • Preparing for web-specific content, digital assets & records management as MDM converges across governance of product, customer & location data
  • Evolving from MDM of product data to multi-domain MDM alongside the ongoing socialization of PIM

GDPR as a Data Governance Booster

Alberto Villari, Data Governance Manager, Yoox Net-a-Porter Group

Alberto will discuss how committing to meet Global Data Protection Regulation (in force from 28th May 2018) encouraged the Yoox Net-a-Porter Group to deeply reconsider and review their attitude towards Data-as-an-asset, and, in that, taking actions (people, programme, processes etc.) to put in place a sound Data Governance framework around Customers Data processes and lifecycle.

11:20 - 12:05
Promoting a Data Centric Approach Within the Intellectual Property Office

Julie Daltrey, Data Architect, Intellectual Property Office

Julie Daltrey

Data Architect

Intellectual Property Office

Julie Daltrey has worked in the IT Department of the Intellectual Property Office for 28+ years covering a variety of roles from Mainframe programmer, PC programmer and Project Manager to Data Architect. During this time various high profile projects and Government wide initiatives, such as the Open Data agenda have highlighted the need for data governance. For the last 5 years Julie has been developing the Data Architect function from the ground up, focussing on 2 pillars of the Information Management stack, Data Modelling and Data Quality.

Mary Drabble, Data Governance Consultant and Customer Success Manager, Agile Solutions

Mary Drabble

Data Governance Consultant and Customer Success Manager

Agile Solutions

Mary Drabble has more than 15 years’ experience in Information Management and has helped clients across all industries in a wide variety of engagements ranging from Analytical to Operational data and information management solutions. Mary has a proven track record in Master Data Management, Data Governance and Data Quality tools, regulatory compliance, methodologies, architectures and processes and joined Agile Solutions as a Customer Success manager, focussed on collaborating with customers, peers and partners to achieve successful project outcomes.

Relationships Matter - Doing Governance with Graphs

Nick Jones, Manager, Data Governance, Multifonds

Nick Jones

Manager, Data Governance

Multifonds

Nick Jones is a data management and data governance expert with a long background in financial services.  He is currently working for Multifonds producing a Meta Data Hub to cover the details of data and code used in their products from design through to implementation – and to increase visibility and traceability in the analysis and development process, as well as providing added value to our clients through a distributed data dictionary.   His background is in financial data integration and reporting; and the design of systems to handle a very wide range of financial products, from vanilla, to exotic.  he has been involved in Data Warehousing for large TPA’s, Treasury and Private Banking developments, and unitised UK Life and Pensions systems.

Underpinning an MDM Approach with a Data Quality Strategy

Ellie Fitzpatrick, Data Governance Manager, Yorkshire Building Society Group

Ellie Fitzpatrick

Data Governance Manager

Yorkshire Building Society Group

Ellie Fitzpatrick is the Data Governance Manager for the Yorkshire Building Society Group where she is responsible for leading the development and implementation of a Data Governance Framework. With over ten years’ experience in related roles within financial services and the public sector, Ellie focuses on the delivery of a practical, risk and value-driven approach to data governance. Follow Ellie on Twitter: @elliefitz.

Bethany Lancaster, Senior Data Governance Analyst, Yorkshire Building Society Group

Bethany Lancaster

Senior Data Governance Analyst

Yorkshire Building Society Group

Bethany Lancaster is the Data Quality Lead within the Data Governance Team at Yorkshire Building Society Group. She is responsible for the design and implementation of a Data Quality Management Framework and Strategy for the organisation, working with Data Owners and Data Stewards to promote and embed proactive data quality management. Her responsibilities also include implementing an improved approach to data retention.

Expert Panel: Best Practices in MDM for PRODUCT Master
GDPR as a Data Governance Booster

Alberto Villari, Data Governance Manager, Yoox Net-a-Porter Group

Alberto Villari

Data Governance Manager

Yoox Net-a-Porter Group

Alberto is Data Governance manager at Yoox Net-a-Porter Group.  Previously he managed the Master Data Management processes and Data standards, definitions and use across applications within Ricoh EMEA.  Prior to Ricoh EMEA, Mr. Villari was the Data Quality Lead at GE Capital (London) and Data Quality Manager at Bulgari (Rome).  He also chaired the 2014 Chief Data Officer Forum in London.  Mr. Villari received his degrees from Università di Roma – La Sapienza with his thesis in Multi-Dimensional Dynamic Data Management (GeoMap) system.

12:05 - 13:35
Networking Lunch & Exhibits
12:35 - 13:00
Perspective Session
Perspective Session
13:05 - 13:30
Perspective Session
Perspective Session
Developing and Institutionalising Data Governance - a Case Study at the Western Cape Government of South Africa

Zeenat Ishmail, Chief Director: Provincial Strategic Management Information, Western Cape Government

The Master Plan for Province-wide Data Governance (PWDG) for the Western Cape Government (WCG) of South Africa is a strategic response to the complexity in which Government operates within the area of managing disparate data and application systems.

The Plan is encompassing of the vision for Business Intelligence; an Implementation Roadmap, Solutions Architecture and a Resource Plan. The institutionalisation is done through a three stage approach being conceptualisation and design, pre-implementation and implementation.

The main value is that although it is centrally driven by the Department of the Premier (DotP), the governance arrangements takes a collaborative approach. The establishment of a Data Competency Centre is key to manage the availably, quality, sharing and integrity of data as a strategic asset. The session will map out the first lessons learned of the journey embarked by the WCG to institutionalise data governance for improved performance, efficiency and desired service delivery impact.

What delegates will learn:

  • Setting a plan in place to institutionalise data governance
  • Getting buy in from the Executive inclusive of Provincial Cabinet
  • The establishment of data governance arrangements
  • Dealing with the key issues on Data Governance
  • Dealing with mandates (roles and functions) and legislation across government
  • Speaking a common language (Terminology and Definitions)
  • Best practices on Master Data Management
  • Data Quality (using a standard quality assurance framework)
  • Data Ownership (transparency and openness)
  • Collaboration and Governance structures

Field Reports for 'Top 15' Master Data Governance Solutions

Aaron Zornes, Chief Research Officer, The MDM Institute

Master Data Governance is critical to achieving sustainable and effective MDM. Failure to execute Master Data Governance concurrently with an MDM program greatly decreases the probability of success and economic sustainability of MDM programs. Clearly, Master Data Governance is both synergistic and co-dependent with MDM. When deploying MDM, a proper Data Governance (DG) discipline should consider the business drivers, project scope, roles and people filling each role, policies and procedures, data quality, inheritability, social norms, and the business operating model. Moreover, Data Governance is more than a single product or process, rather, it is an ecosystem of products, processes, people, and information. At present, Data Governance for MDM is moving beyond simple stewardship to convergence of task management, workflow, policy management and enforcement.

Understanding the scope, diversity and limitations of current Data Governance solution offerings is tremendously challenging – even more so, given the fast pace of M&A & complexities of integrating such diverse software portfolios. Nonetheless, business and IT leadership chartered with defining and executing MDM programs need help to understand and navigate through the number and variety of DG options.

Through 2018, most enterprises will struggle with enterprise DG while they initially focus on customer, vendor, or product; integrated enterprise-strength DG that includes E2E data lifecycle will remain elusive as most organisations turn to lightweight glossaries with modest Data Steward workflows to support devolved autonomy and multi-disciplinary, bi-modal teams. During 2018-19, the majority of MDM software and service providers will focus on productizing such lightweight DG frameworks while mega MDM software providers will struggle to link governance process with process and data hub technologies. By 2020, mega vendor DG solutions will finally move from “passive-aggressive” mode to “proactive” Data Governance mode.

This session will a review of the current solutions in market as well provide a “top10” list of evaluation criteria for such solutions. Topics include:

  • Understanding the “top 10” evaluation criteria for DG solutions — e.g., decision rights management, MDM hub integration, E2E lifecycle management, Big Data & ECM support, DQ/ETL integration capabilities, etc.
  • Assessing the vendor landscape— e.g., passive, active, integrated, pro-active, & passive aggressive, etc.
  • Determining an enterprise-specific road map to evolve from a siloed, motley collection of DQ tools, processes & point products to a non-obtrusive enterprise DG program (supporting multiple domains, cross-disciplinary teams & federated data management groups)

Business Partner Data “Shareconomy”

Udo Couto Klütz, Robert Bosch
Kai Hüner, Chief Technology Officer, CDQ

To master the numerous challenges of managing customer and vendor data, both at present and in the future, Bosch has teamed up with other multinational companies (among them BASF, Bayer, Nestlé, Novartis, Siemens) to share selected business partner data (e.g. legal names and addresses, tax numbers, or scores to prove the validity of bank accounts) and to collaboratively maintain this data.

The presentation will offer insights as to what challenges a multi-national enterprise such as Bosch encounters in business partner data management, and how these challenges are addressed by a corporate program on strategic, organizational, and system level. It will also outline how cross-corporate collaboration is positioned in this program and what benefits Bosch expects to achieve on a mid- to long-term basis.

Key takeaways of the presentation will be:

  • Innovative approach of how to efficiently manage business partner data in a multi-national enterprise
  • Insights into a best-practice approach from a global market leader, and
  • A set of use cases demonstrating the business value of effective cross-corporate data management

Data Governance and Regulations: A Case Study on the Implementation of GDPR

Dhivya Venkatachalam, Director, Data Synergie

This session will focus on the relationship between Robust data governance and Regulations – Leveraging the data assets and the data organisations to address the legal and regulatory requirements. New regulations are being introduced all the time. Investing in a sustainable data ecosystem is essential to address these regulations throughly. Good data infrastructure gives us an understanding of what data we have, who owns it and who accesses it, how and where it is processed, what it is used for and how it is stored, archived and destroyed. This session focuses on building the foundational data organisation that can answer all these questions and help us manage our ever changing regulatory needs. This session uses General Data Protection Regulation (GDPR) as a case study to show how Data Governance can be effectively and efficiently used.

What You Will Learn:

  • Build the foundational data governance Infrastructure
  • Build the data organisational ecosystem to support the data infrastructure
  • Use the Data Governance organisation to manage regulatory needs.

13:35 - 14:20
Navigating a New Frontier to Advance TD's Data: OCDO & Finance

Rosemarie Owens-Tunney, AVP, Finance Data Strategy & Management, TD Bank

Rosemarie Owens-Tunney

AVP, Finance Data Strategy & Management

TD Bank

Rosemarie Owens-Tunney graduated from the University of Toronto, with a Masters of Science in Physical Anthropology.  Rosemarie began her career at TD in 1994 joining Retail Banking and has moved through a variety of more senior roles including Risk Management, Regulatory Compliance, Corporate Diversity, and Human Resources.  She is currently the AVP, Finance Data Strategy & Management, responsible for delivering on Finance’s Data Strategy and has oversight of the Finance Data Steward community. She is passionate about nurturing strong partner relationships and collaborative problem-solving with diverse, high-performing teams.

Mary Munro, Vice President, Data Governance and Communications, Office of the CDO, TD Bank Group

Mary Munro

Vice President, Data Governance and Communications, Office of the CDO

TD Bank Group

Mary Munro is Vice President, Data Governance and Communications, TD Bank Group. Mary leads a team within the bank’s Office of the Chief Data Officer (OCDO) responsible for all operational aspects of Enterprise Data Governance programs, as well as communications, change management and educational initiatives supporting the bank’s Enterprise Data Strategy.  Since joining TD in 2006, Mary has held increasingly senior roles across the organization in areas including the Enterprise Project Management Office (EPMO), Governance, Controls and Risk Management (GCRM) and most recently provided operational and strategic direction as Head of the Program Management, Technology and Analytics functions within Global Anti-Money Laundering (GAML).  Prior to joining TD, Mary held a number of consulting roles supporting organizational transformation and change management programs, and worked and lectured at the University of Toronto’s School of Continuing Studies and Faculty of Information Sciences.  Mary received her Honours Bachelor of Arts degree in English Literature from Carleton University, studied at Oxford and pursued graduate work at OISE.  In her personal time, Mary devotes herself to a number of community organizations and sports, women in leadership activities and as a Board member of Heritage St. Georges.

Developing and Institutionalising Data Governance - a Case Study at the Western Cape Government of South Africa

Zeenat Ishmail, Chief Director: Strategic Management Information, Western Cape Government

Zeenat Ishmail

Chief Director: Strategic Management Information

Western Cape Government

Ms Zeenat Ishmail currently holds the position of Chief Director: Provincial Strategic Management Information within the Department of the Premier, Western Cape Government (WCG) since 2008. She has provided strategic leadership to ensure the effective design of the Province-wide Monitoring and Evaluation System (PWMES); including putting in place a Results-based M&E model. She has been instrumental in provincialising the National Evaluation System for the WCG. She currently drives the institutionalisation of Province-wide Data Governance across the provincial departments.  Zeenat is the WCG representative on the South African Statistics Council. She also oversees the management of the province-wide forums for M&E, programme and project management, Spatial Information, Business Intelligence and Data Governance.

Field Reports for 'Top 15' Master Data Governance Solutions
Business Partner Data “Shareconomy”

Udo Couto Klütz, , Robert Bosch

Udo Couto Klütz

Robert Bosch

.

Kai Hüner, Chief Technology Officer, CDQ

Kai Hüner

Chief Technology Officer

CDQ

Dr. Kai Hüner has more than 10 years’ experience in the data management and data quality domain. He has published several scientific articles, focusing on data quality measuring, information architecture, and collaborative data management. As a managing consultant, he has accompanied several multinational enterprises on their journey of developing a data management strategy, setting up data governance organizations, and implementing a corporate information architecture. With the Corporate Data League, Kai has initiated a trusted network of global enterprises who maintain customer and vendor data collaboratively in the cloud.

Data Governance and Regulations: A Case Study on the Implementation of GDPR

Dhivya Venkatachalam, Managing Director, Data Synergie

Dhivya Venkatachalam

Managing Director

Data Synergie

Dhivya Venkatachalam is a successful Data and Information expert, consultant and Speaker. She is the managing director of Data Synergie, a Data and Information Consultancy that works with enterprises to build a sustainable, holistic data ecosystem where all facets of data (data governance, management, security, architecture, analytics and the data in projects) in the enterprise work seamlessly together to create better value for the organisation. Her consultancy specialises in Data requirements for Governance, Risk and Compliance. Dhivya has worked with data for well over 15 years – She has been instrumental in defining the Data and Information Strategies, establishing enterprise information management strategy roadmaps, working on regulatory, compliance programs and managing the delivery of complex information-centric transformation programs.
Follow Dhivya on Twitter @diyavenkat.

Data Governance: A Retrospective

Jon Hill, Executive Director, Data Governance, Nomura

Three years ago Nomura embarked on a large scale data governance programme to ensure compliance with the financial industry’s BCBS 239 regulation and provide a sustainable operating platform for wider business benefits such as advanced automation and digitalisation. BCBS 239 requires banks to have a level of data governance, architecture and data quality management in place for the data used to create key risk metrics and reports.

In this talk Jon will review what went well, what was learned, what should have been done differently, and what puzzles remain. He will focus on:

  • Real practical experiences gained from implementing data governance and a data management framework within a global organisation
  • The balance and interaction between the human and technology aspects of data governance
  • Managing the transition from a compliance programme to a value driven, business-as-usual capability

Maximising Business Outcomes of a Data Governance Programme by Bridging it with Business Performance Management

Dr Andrey Pavlov, Senior Lecturer, Business Performance Management, Cranfield School of Management
Irina Williams, Business Development Manager, Perfex Lab

What if the logic of Data Governance extended to business performance measurement and strategy execution? In this talk, Dr. Andrey Pavlov and Irina Williams present an approach to building a comprehensive business glossary for Data Governance, creating a structure for integrating data management efforts into an organisation’s systems for measuring and managing corporate performance. The speakers will outline the framework for connecting Data Governance with the wider business objectives and present a case study illustrating the application of this logic in the retail industry. This session will explore:

  • “What’s wrong with this KPI?”: Performance Measurement meets Data Governance.
  • How an extended business glossary from a Data Governance project can be utilised to enhance an organisation’s business performance measurement system.
  • From chaotic reporting environment to organised and governed catalogue of performance measures: a case study.

Driving Harmonization of Data in a Challenging Environment

Luca Condosta, Group Finance Vice President, ABB Management Services

ABB is a world leader in the energy industry  and is operating in more than 100 countries and have a double digit number of ERPs (SAP, Oracle and other legacy systems).

A new era has started and the push for simplicity, automation and digitalization is driving the agenda also in the Finance world.

During 2017 an acceleration of this process happened. As Group Finance and Customer-Vendor Master Data domain manager Luca is driving a journey which aims at harmonizing the complexity sometimes through changing the backbones systems, sometimes through mapping tables which will enable central solutions for BI and Analytics.

This is completely changing the rule of the game and the main ingredients are: strong governance, strong knowledge of the cultural differences and trust towards the local units. ABB aims at creating 1 source of truth of their data, leveraging on RPA and syndication to enable business analytics.

Implementing Successful Master Data Governance in a Medium-Sized Multinational Enterprise

Martin Koch, Head Business Applications, SV Group
Dimitri Tombros, Head CC Information Management, AWK Group

The digital transformation of a business catering company is based on better understanding customer needs and providing tailored products. To this end various domains and systems such as CRM, menu management or restaurant POS have to interoperate more closely. Risks regarding the management of sensitive data assets have to be known and managed. An MDM initiative was put in place. In their presentation, AWK Group answers the following questions:

  • A data asset value and risk-based framework to managing master data has been defined and implemented for a multinational enterprise in restaurant, catering and hotel management business. What are the key elements?
  • The initiative, while driven by IT (business application management), needed a substantial involvement and buy-in by business units. How was that achieved?
  • Practical methods used to define and implement master data governance instruments and organisational structures. What were the key success factors?
  • Martin and Dimitri conclude by summarizing their experiences and lessons learned from the implementation and operation of the defined governance framework.

BT's GDPR Journey ... a Transformational Approach to Personal Data Governance

Mark Hudson, Principal Enterprise Architect, Architecture and Strategy, British Telecom

This case study session outlines the journey BT took in preparing for GDPR. Since its early drafts, BT’s legal and compliance team have been tracking GDPR. It soon became clear that the new law contained more stringent data governance and data protection obligations. Over three years ago, an architectural assessment led to a series of workshop events. Subsequently, an agreed business case included a risk-based investment approach. BT’s GDPR Programme was mobilised and our large IT estate was systematically assessed over a number of months. Initial IT changes were implemented for the information retention and security investment themes. The second phase tackled more complex IT solutions, such as encryption and consent. In parallel, our people training, processes and contracts were revised. The preparations culminated in a renewed data governance and Privacy-by-Design ethos. Post transformation, the challenge now is to maintain and build on our now, heightened data governance approach.

  • How to mobilise transformational changes to data governance in large, complex organisations
  • Techniques for modelling and prioritising the mitigation of data compliance risk
  • Practical hints and tips for identifying cost effective IT solutions that both improve personal data protection and benefit customers

14:25 - 15:10
Data Governance: A Retrospective

Jon Hill, Executive Director, Data Governance, Nomura

Jon Hill

Executive Director, Data Governance

Nomura

Jon’s career has spanned data, technology strategy and programme delivery across both the Financial Services and Music industries. At Nomura, the leading Japanese financial services company, he has been instrumental in the implementation and embedding of data governance practises to ensure compliance with the BCBS 239 financial services regulation and provide a platform for automation, digitalisation and wider initiatives. Jon received his PhD in computational modelling from Imperial College London.

Maximising Business Outcomes of a Data Governance Programme by Bridging it with Business Performance Management

Andrey Pavlov, Senior Lecturer, Business Performance Management, Cranfield School of Management

Andrey Pavlov

Senior Lecturer, Business Performance Management

Cranfield School of Management

Dr Andrey Pavlov, Professor of Business Performance Management at Cranfield School of Management. In his postgraduate and executive programmes, he teaches how to shape organisational performance and strategic change. Andrey has worked with executives from organisations ranging from HSBC and Rolls-Royce to Sport England and the NHS. Andrey has written over 50 papers and is a regular speaker at national and international conferences. His most recent book is Measurement Madness: Recognizing and Avoiding the Pitfalls of Performance Measurement, published by Wiley.  Follow Andrew on Twitter @DrAndreyPavlov

Irina Williams, Business Development Manager, Perfex Lab

Irina Williams

Business Development Manager

Perfex Lab

Irina Williams, Business Development Manager at Perfex Lab, an R&D division of Acctiva Ltd., that develops solutions for enhancing business performance through maximising the value of information assets. Through her daily work with companies across industries she reveals the challenges organisations face in their day-to-day decision making and what information support they require to increase their business performance. With this insight she focuses Perfex Lab team’s efforts on resolving those challenges. She is a prolific blogger and speaks regularly on the subjects of information governance and performance management.

Driving Harmonization of Data in a Challenging Environment

Luca Condosta, Group Finance Vice President, ABB

Luca Condosta

Group Finance Vice President

ABB

Luca is Group Finance Vice President at ABB and coordinated the Shared Accounting Centers of North America and North Europe. He is currently managing the setup of GBS Finance Centers in Tallinn (Estonia), Cary (US), San Luis Potosi (MX).  He has a strong business experience in Finance and Risk Management topics with a global perspective, with solid understanding of accounting, reporting and audit issues.  He has deep knowledge of Shared Services industry with global experience in setting up new centers cross country. He has expertise on IFRS conversion acquired in Italian listed companies (SAIPEM) and applied in ABB Italy IFRS conversion.  He has strong USGAAP & IFRS background.  He has experience of Implementation of ERP accounting systems (SAP FI, CO and legacy systems).  He Setup of an internal control system over financial reporting (SOX compliance& Antifraud program), with effective reports to Audit Committee, CFO, external auditors. He has extensive academic research performed in Business Ethics and Corporate Social Responsibility.  He set up of Corporate Sustainability reporting and support in sustainable auditing activities.  He has created effective partnerships with governments and NGOs in developing countries.

Implementing Successful Master Data Governance in a Medium-Sized Multinational Enterprise

Martin Koch, Head of Business Applications, SV Group

Martin Koch

Head of Business Applications

SV Group

Martin Koch is currently Head of Business Applications at SV Group IT. SV Group is the leading Swiss Caterer for Business Catering and operates in Switzerland, Germany and Austria. He has broad experience in business analysis and engineering, project management and process management. He switched to IT two years ago after working in marketing departments of a telcom provider, software company and airline for over 20 years. He supporting the digital transformation of SV Group aligning IT and the business. Martin has a Master of Advanced Studies in Marketing Management & CRM from Zurich University of Applied Sciences and a Swiss Diploma in organizational management.

Dimitri Tombros, Head CC Information Management, AWK Group

Dimitri Tombros

Head CC Information Management

AWK Group

Dimitri Tombros is currently Head of the Competence Center Information Management at AWK Group a leading Swiss independent consulting company. He has over 15 years of experience in designing and implementing data management solutions and data governance frameworks and solutions for enterprises in various industries including retail, energy, finance and public administration. His further professional focus includes digital transformation strategies and digital platform architectures. Dimitri has earned his Master’s Degree in Computer Systems Engineering at Stanford University and has a PhD in Data Management from the University of Zurich. He is ISACA certified in Governance of Enterprise IT (GCEIT).

BT's GDPR Journey ... a Transformational Approach to Personal Data Governance
15:10 - 15:35
Networking Break & Exhibits
How to implement Data Classification via a Network of Data Stewards

Ahmet Temizsoy, Head of Data Stewardship, Dun&Bradstreet

Data Classification is a critical requirement of any Data Governance Program. At this session, you will hear about how Data Classification was handled at D&B. This will include creation of the policy, as well as enterprise wide implementation as well as key challenges and important next steps. You will also learn about how Data Classification Policy supports Data Handling Standards at D&B, along with the Operating Model for the organization.

What You Will Learn:

  • D&B Data Classification Policy & Implementation
  • How to make Data Classification reality through a network of Data Stewards
  • How to raise Data Classification awareness, and link to Organization’s Security and other Regulatory Requirements.

Skill & Competencies for Data Governance

Chris Bradley, Information Strategist, Data Management Advisors

Are you just starting or are even mid-way through a Data Governance initiative? Undoubtedly, you’ve identified key roles including Data Owner, Steward, Custodian & more.  But what makes a good Owner, what are the skills and competencies required for these (and other) roles.

And it’s not simply the “Information” skills that are essential, but the wider business and soft skills are vital for effective Data Governance roles. This session will:

  • Show a capabilities and competencies framework for Data Management professionals
  • Describe the key capabilities that are essential for Data Governance role
  • Highlight the behaviours and attitudes that Owners, Stewards & Custodians must exhibit to succeed
  • Describe the most important Data Governance roles that are required in a successful programme; and
  • Discuss if professional Data Governance certification really helps & compare the options

Master Data Change Management

Farah Naili, Master Data BPM, Arriva

Often times in discussions around Master Data, the elements of Change Management are completely overlooked.  Bad data often stems from unclear processes, standards and poor people management.
In this talk, the audience will be given an opportunity to discuss and reflect on the following:

  • Questioning process status quo and ownership
  • Preparing for people management in change
  • Ensuring business continuity & sustainability

Expert Panel: Best Practices in MDM of CUSTOMER Data

Aaron Zornes, Chief Research Officer, The MDM Institute

The ability to deliver a single, trusted, shareable view of customer is universally seen as a key business strategy for commercial and public-sector enterprises. Yet most enterprises struggle to provide even a 90°, let alone a 360°, view of those entities. While historically, many organisations and vendors originally focused on derivatives of CRM, ERP or other vertical industry solutions as their system of record, industry-leading enterprises have since moved on to multi-domain MDM, Big Data/Social MDM and other key augmentations to that original concept. This panel will focus on answers to such questions as:

  • Establishing the seeds to grow customer data integration (CDI) — e.g., compliance & risk management; cost optimization & efficiency; cross-sell, up-sell & retention
  • Determining the pace to embrace multi-domain MDM, Big Data, Cloud MDM & Social MDM
  • Rationalizing an “MDM of CUSTOMER hub” architecture with the reality of multiple ERP, CRM & other MDM hubs

Leveraging GDPR to Embed a Sustainable Data Governance Organisation – A Case Study

Dan Robertson, Chief Data Officer, SSE
Ralf Teschner, Global Data Governance Lead, Capgemini

Most large enterprises have struggled for years with building an effective DG programme. To satisfy GDPR, they’re now developing structures to create data policies and standards, with accountabilities and formalised decision-making processes. This is Data Governance. So why not use this infrastructure and expand it into other data domains such as Product, Supplier, Location, Financial and Asset data? Why not leverage it for other DG interests such as business term definitions, system alignment, data quality, data hierarchies or classification standards?

SSE, the large British electric utility services provider, takes the value of data and the value from data seriously. GDPR focused everyone’s minds on data protection and retention policies, data sharing agreements and unstructured data. But the company looks at Data Governance going wider, with interests far beyond Customer and Employee data.

This joint presentation will also provide real-world examples of how four other large companies in Retail, Utilities and Manufacturing have successfully built a DG programme that is effective, productive and sustainable, that delivers business value and isn’t just geared towards compliance.

  • How did SSE build on the GDPR infrastructure to drive business benefits in other areas?
  • What made SSE’s DG organisation effective for GDPR purposes, productive for other DG interests, and sustainable for the Business?
  • DG/GDPR lessons learned from SSE and other large retail, utility and manufacturing organisations

15:35 - 16:20
How to implement Data Classification via a Network of Data Stewards

Ahmet Temizsoy, Head of Data Stewardship, Dun & Bradstreet

Ahmet Temizsoy

Head of Data Stewardship

Dun & Bradstreet

Ahmet Temizsoy is the Head of Data Stewardship at D&B, a data and analytics provider with the largest global commercial database on the planet, helping its customers making informed decisions by identifying the value of their business relationships. Having implemented Data Governance and Stewardship Programs for 10+ years in multiple organizations within Financial Services and Data Industry, Ahmet joins us to give an overview on how Data Classification is implemented at D&B in the light of multiple regulatory and information security requirements.

Skill & Competencies for Data Governance

Chris Bradley, Information Strategist, Data Management Advisors Ltd

Chris Bradley

Information Strategist

Data Management Advisors Ltd

Christopher Bradley has spent 35 years in the forefront of the Information Management field, working for leading organisations in Information Management Strategy, Data Governance, Data Quality, Information Assurance, Master Data Management, Metadata Management, Data Warehouse and Business Intelligence.   Chris is an independent Information Strategist & recognised thought leader.  Recently he has delivered a comprehensive appraisal of Information Management practices at an Oil & Gas super major, Data Governance strategy for a Global Pharma, and Information Management training for Finance & Utilities companies.  Chris guides Global organizations on Information Strategy, Data Governance, Information Management best practice and how organisations can genuinely manage Information as a critical corporate asset.  Frequently he is engaged to evangelise the Information Management and Data Governance message to Executive management, introduce data governance and new business processes for Information Management and to deliver training and mentoring.  Chris is Director of the E&P standards committee “DMBoard”, an officer of DAMA International, an author of the DMBoK 2.0, a member of the Meta Data Professionals Organisation (MPO) and a holder at “master” level and examiner for the DAMA CDMP professional certification. Chris is an acknowledged thought leader in Data Governance, author of several papers and books, and an expert judge on the annual Data Governance best practice awards. Follow Christopher on Twitter @inforacer.

Master Data Change Management

Farah Naili, Master Data BPM, Arriva

Farah Naili

Master Data BPM

Arriva

Farah is responsible for Master Data BPM at Arriva. She specialises in SAP MM, Master Data, Process Design and Improvement, Workflows, Marketing, Supply Chain and Logistics, Coordination, International and Multicultural Environments.

Expert Panel: Best Practices in MDM of CUSTOMER Data
Leveraging GDPR to Embed a Sustainable Data Governance Organisation – A Case Study
Where Governance Ends and Business Begins

Dana Julinschi, Master Data Governance & Projects Manager, FrieslandCampina

In 2017, FrieslandCampina finalized the global rollout of their master data governance program. What do they do next? After the excitement and novelty of the first stages wears off, they must keep on working towards ensuring that master data is at a constantly a high quality and an efficient business enabler and that they can become a truly data driven organisation.

In this session, you will find out how to keep your stakeholders engaged in the long run and help them become more self-supporting over time. You will be advised on the way that master data strategy and governance practices must develop in line with how your business evolves and the role that your team has in turning data into valuable insights.

Delegates will learn how to:

  • Understand and translate business needs into master data work;
  • Use data quality as a stakeholder engagement mechanism;
  • Move from “you are the Data Owner” to “I am the Data Owner”;
  • Optimise master data capabilities in their organisation.

How Data Governance Delivers a Better (Data) Quality Environment

Nick Keen, National Lead – Data Governance, Environment Agency
Simon Dimbylow, National Lead – Data Quality, Environment Agency

The Environment Agency is a public sector organisation with all of us likely to benefit from their data. In this session Simon and Nick will take you through the EA approach to data governance and data quality and show how they applied this to, and helped resolve a real life problem that could affect many of us at home or at work.

  • Explain how they approach data governance in the EA
  • How their approach to data governance supports data quality
  • The lessons learnt from our DG journey and how to engage with the business

Streamlining Data Management Processes Using Lean Methodology

Gerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts

As a Lean Green Belt, Gerard has been able to apply Lean methodology to his data management processes to drive efficiency and reduce time/cost.

What is Lean? It is a set of techniques to:

  • Map out processes
  • Identify potential areas of inefficiency (“waste”)
  • Deliver process improvements

Whilst originally developed for the automotive industry, many of the Lean techniques can be applied to services such as data management. In effect, from the start of a change request to the end point, we can look at each step of that in turn, each activity, each human touch and see if it can be done better. Lean gives us a set of tools and techniques for analysis and improvement.

Delegates will takeaway:

  • An understanding of what Lean is
  • Knowledge of techniques to assess processes
  • A set of techniques to build improvements

Agile Implementation of an MDM Solution

Helle Lindsted, Master Data Manager, Coloplast A/S

Coloplast is a medtech company developing products and services that make life easier for people with intimate healthcare needs. The main business areas include ostomy care, urology & continence care and wound & skin care.

At Coloplast, the Scrum methodology was chosen for the implementation of an MDM solution. The initial project consisted of five two-week sprints to set up a solution for submission of UDI data for FDA. This presentation describes how they worked and discusses the pros and cons of working in an agile manner for an MDM implementation and our thoughts on future uses of the solution.

The presentation highlights:

  • How frequent demos created awareness, interest and excitement among future users
  • How stakeholders were actively involved very early in the process resulting in high user satisfaction
  • How working hands-on from day one helped the development team understand the capabilities and limits of the solution very quickly

The Anatomy of Sustainable GDPR Compliance

Stijn Waegemans, Inpuls

By now most people have understood that GDPR is not a matter of ticking some boxes and making sure that you end up with a document certifying that “You are now compliant”. The regulation has a profound impact on the way you handle personal information in your organisation. There must be a level of control that assures that all personal information is processed within the boundaries that have been set by the regulation. You might get confused by the regulations requirements that ask you to demonstrate that you understand and govern your personal data use and flows. Consider at Art. 30, the processing register, as an example. You could do a once off high-level documentation exercise but that would be a big waste of resources, given the need for maintaining that information and given the other data subject rights that require a much more detailed insight in the data landscape. To handle this complexity you need to translate the requirements into a structured set of deliverables and metadata model that allows you to sustain a collaborative way of maintaining the metadata. This presentation will explain what is required in terms of metadata for each of the GDPR articles and what relations need to be maintained to support your GDPR initiative.

Attendees will learn:

  • What metadata is required to support your GDPR approach
  • How the metadata can be kept up to date
  • How you can take an iterative approach that goes from high level to detailed metadata
  • How GDPR metadata links to Master Data Management
  • What is takes to support consent

16:25 - 17:10
Where Governance Ends and Business Begins

Dana Julinschi, Master Data Governance & Projects Manager, FrieslandCampina

Dana Julinschi

Master Data Governance & Projects Manager

FrieslandCampina

Dana Julinschi is Master Data Governance & Projects Manager for FrieslandCampina in the Netherlands. She leads the portfolio of master data related projects within the company, spanning from the global roll-out of a governance organisation and master data quality, all the way to hands-on continuous improvements. Prior to this, Dana worked for nine years as an IT Advisor within KPMG and built her career around master data management related topics. She has been part of several MDM implementation projects in different industries with a strong focus on change management within governance organisations, maturity assessments, data quality KPIs and data maintenance processes.

How Data Governance Delivers a Better (Data) Quality Environment

Nick Keen, National Lead - Data Governance, The Environment Agency

Simon Dimbylow, National Lead - Data Quality, The Environment Agency

Simon Dimbylow

National Lead - Data Quality

The Environment Agency

Simon has been in the Environment Agency for 11 years working in various data related roles. His work has naturally flowed into understanding data quality culminating in him working to change the way the organisation looks at and understands data quality. Follow Simon on Twitter @cumulodimbus.

Streamlining Data Management Processes Using Lean Methodology

Gerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts

Gerard Bartley

Manager Global Master Data

Jacobs Douwe Egberts

Gerard is a recognised and accomplished data management professional, helping businesses unlock the value of their information.  A firm believer in the principle that good data management is all about people rather than IT systems, Gerard’s proven approach focuses on delivering real change through stakeholder buy-in, organisational redesign, process improvement and team development  He has set up real data governance organisations, built large teams from scratch, implemented workflow systems, delivered cost-reducing data management processes and built data quality systems.  He can also draw upon a wealth of experience in BI system management, reporting, analytics, commercial finance and  service centre management.
Gerard has worked in many blue chip organisations throughout his career and is currently heading up master data management at Jacobs Douwe Egberts in the Netherlands.  An engaging communicator, Gerard is a regular speaker at data management and governance conferences, where his practical content and real-life examples always receive excellent feedback.

Agile Implementation of an MDM Solution

Helle Lindsted, Master Data Manager, Coloplast

Helle Lindsted

Master Data Manager

Coloplast

Helle Lindsted is a Master Data Manager in Global Quality – Compliance, Systems & Processes at Coloplast A/S. She holds a Master of Computational Linguistics from Copenhagen Business School and a Graduate Certificate in Business Data Mining from Oklahoma State University. Helle Lindsted is an experienced data quality and data management practitioner. As a software consultant, she gained several years of practical experience from industries such as insurance, banking and pharma. Before joining Coloplast A/S in January 2017, she worked as a Master Data Manager at Maersk Supply Service. At Coloplast A/S, Helle Lindsted acts as a subject-matter expert for product master data. She is heavily involved in establishing rules and guidelines for correct master data set-up as well as in training master data maintainers in the use of the company’s ERP system and MDM solution.

The Anatomy of Sustainable GDPR Compliance

Stijn Waegemans, Senior Data Management Consultant, Inpuls

Stijn Waegemans

Senior Data Management Consultant

Inpuls

Stijn is a senior data management consultant, who has been active in the business intelligence, data warehousing, data quality, data privacy and information governance area. He has experience in various sectors including banking, insurance, utilities and social media.  Currently his main focus is on helping businesses set up information governance with a metadata framework that incorporates compliance requirements and that provides a good base for business glossary, technical metadata and data quality. He has experience with different metadata tooling like Collibra, EBX and Informatica.  He recently was part of the team that helped build GDPR accelerators for multiple metadata solutions. He has successfully completed his Data Protection officer and CDMP certification.

Thursday 17 May 2018: Full Day Workshops
08:30 - 09:00
Registration
Data Governance Masterclass

Dhivya Venkatachalam, Director, Data Synergie

This session will focus on Data Governance Maturity, on how to successfully steer your data governance organisation from its foundations to a sustainable ecosystem. This workshop is designed to provide you with a robust roadmap and some measures for the next steps in the maturity journey.

As part of the workshop, we will also discuss case studies and success stories. Of what works and what doesn’t. How to identify and engage the different stakeholders, how to successfully build a data governance organisation, record measures and metrics, track your wins, build your data assets and so on.

This workshop helps you start from where you are and take the next steps to move forward. The focus is on the following areas:

  • Data Governance Foundations – All the basics
  • Building the Data Governance Organisation – To create a sustainable organisation that works
  • Getting to a wider audience / Engagement
  • Data Governance Maturity
  • Roadmap and Next steps
  • Measure our success

Successful Implementation of a Master Data Management Programme

Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners

This workshop focuses on the key elements of an MDM programme that are needed for overall success. It gives practical recommendations while at the same time providing a conceptual understanding of what is involved in these recommendations. Both governance and management are covered, and emphasis is placed in how MDM fits into a larger business strategy and architectural setting. The business needs of master data are described, including strategies for meeting manual and procedural needs. The more technical details are fitted into this framework. MDM programmes are rapidly evolving as new data possibilities emerge and enterprises demand more from MDM than they have previously. These emerging challenges of MDM are addressed in detail, including how MDM supports data scientists and the relationship between Big Data and MDM.

Attendees will learn:

  • What Master Data is, how it differs from other classes of data, and what its special needs and challenges are.
  • The structure of an MDM programme, including how the business needs to be aligned to data governance and data management within an MDM programme.
  • How to deal with integration, semantic, history, quality, and other requirements in an MDM programme.
  • MDM architectures, including what tooling can offer, and how these vary with different master data entities.
  • The relationship of master data with reference data, and emerging areas of MDM.

"Making It Real" - Establishing the Interdependence of Data Governance and Data Models

Chris Bradley, Data Management Advisors & George McGeachie, Metadata Matters

Data governance is at the heart of all data management activities, and whilst not well understood it is heavily reliant on effective data modelling. Furthermore this is a two-way interdependency – Neither can work effectively without the other.

The role of Data modelling for Data Governance will be shown in this workshop. We’ll describe real-world data governance processes, based upon years of experience with major clients, and the accompanying data modelling practices, and additional information (such as data lineage) required to manage change effectively. Then it’s time for you to put those processes to the test, pushing proposed changes through the data governance pipeline, in which you are a key participant. Will our apparently-perfect processes and data modelling practices cope? Participants will learn from each other as well as from Chris and George.

Delegates will learn:

  • The critical role of a data model for data governance
  • Common pitfalls in apparently-perfect processes
  • The importance of joined-up thinking when implementing data governance and related technology
  • The perspective of others involved in the process

09:00 - 16:30
Data Governance Masterclass
Successful Implementation of a Master Data Management Programme
"Making It Real" - Establishing the Interdependence of Data Governance and Data Models

Chris Bradley, Information Strategist, Data Management Advisors Ltd

George McGeachie, Information Management Consultant, Metadata Matters

George McGeachie

Information Management Consultant

Metadata Matters

George is an independent information management practitioner, with 30+ years of experience of managing information in many organisations. He encourages organisations to connect and utilise their metadata islands, to recognise the wealth of information contained in their data models, and recognise that the creation of data models must form part of an integrated approach to improving their business. George is a blogger, co-author of “Data Modeling Made Simple Using PowerDesigner” with Steve Hoberman, and author of several articles on TDAN.com. George works with international clients including Riyad Bank, SABB, Alinma Bank, Lloyds Banking Group, Deutsche Bank, HMRC, EIB, BP, ENTSO-E, Otto Group and Shell. Most recently he has delivered Data Governance processes for a bank, SAP PowerDesigner training and expertise to several organisations, and Idera ER/Studio expertise to a major UK bank. George has extensive experience with producing and using data models at all levels of abstraction, from high-level views to logical data models, to messaging and database models.  George is an established conference presenter – if you attend one of his presentations you’ll see just how much importance he places on the use of modelling and metadata management in both Data Governance and Master Data Management. View his blog at metadatajunkie.wordpress.com

View a PDF of the agenda here or switch to a larger screen to browse the full agenda, including comprehensive session details and speaker information.

Fees

  • 4 Days
  • £1945
  • £1,945 + VAT (£389) = £2,334
  • 3 Days
  • £1595
  • £1,595 + VAT (£319) = £1,914
  • 2 Days
  • £1245
  • £1,245 + VAT (£249) = £1,494
  • 1 Day
  • £795
  • £795 + VAT (£159) = £954
Group Booking Discounts
Delegates
2-3 Delegates 10% discount
4-5 Delegates 20% discount
6+ Delegates 25% discount

UK Delegates: Expenses of travel, accommodation and subsistence incurred whilst attending this IRM UK conference will be fully tax deductible by the employer company if attendance is undertaken to maintain professional skills of the employee attending.

Non-UK Delegates: Please check with your local tax authorities

Cancellation Policy: Cancellations must be received in writing at least two weeks before the commencement of the conference and will be subject to a 10% administration fee. It is regretted that cancellations received within two weeks of the conference date will be liable for the full conference fee. Substitutions can be made at any time.

Cancellation Liability: In the unlikely event of cancellation of the conference for any reason, IRM UK’s liability is limited to the return of the registration fee only.IRM UK will not reimburse delegates for any travel or hotel cancellation fees or penalties. It may be necessary, for reasons beyond the control of IRM UK, to change the content, timings, speakers, date and venue of the conference.

Venue

  • Radisson Blu Portman Hotel
  • 22 Portman Square
  • London
  • W1H 7BG
  • UK

Platinum Sponsors

Silver Sponsors

Standard Sponsors

Supported By

Association of Enterprise Architects   

The Association of Enterprise Architects (AEA) is the definitive professional organization for Enterprise Architects. Its goals are to increase job opportunities for all of its members and increase their market value by advancing professional excellence, and to raise the status of the profession as a whole.

ECCMA

Formed in 1999; the Electronic Commerce Code Management Association (ECCMA) has brought together thousands of experts from around the world and provides a means of working together in a fair, open and extremely fast internet environment to build and maintain global, open standard dictionaries used to unambiguously label information without losing meaning. ECCMA works to increase the quality and lower the cost of descriptions through developing International Standards.   ECCMA is the original developer of the UNSPSC, the project leader for ISO 22745 (open technical dictionaries and their application to the exchange of characteristic data) and ISO 8000 (information and data quality), as well as, the administrator of US TAG to ISO TC 184 (Automation systems and integration), TC 184 SC4 (Industrial data) and TC 184 SC5 (Interoperability, integration, and architectures for enterprise systems and automation applications) and the international secretariat for ISO TC 184/SC5. For more information, please visit www.eccma.org.

Nederlands Architectuur Forum (NAF)

The mission of the Netherlands Architecture Forum (NAF) is to promote and professionalise the use of architecture in the world of business and IT. Since its foundation in 2002, the NAF has created a network of over 70 Dutch user organisations, vendors and knowledge institutes. It offers its members opportunities for networking with fellow architects, exposure through publications, and knowledge exchange in its working groups.
NAF working groups bring together professionals on such diverse topics as architecture principles, Web 2.0 architecture, Cloud & SaaS, TOGAF, IT governance, and many more. Furthermore, NAF is organiser of the NAF Insight seminars and co-responsible for the yearly Dutch national architecture congress (LAC).

DGPO

The Data Governance Professionals Organization (DGPO) is an international non-profit, vendor neutral, association of business, IT and data professionals dedicated to advancing the discipline of data governance.   The DGPO provides a forum that fosters discussion and networking for members and seeks to encourage, develop and advance the skills of members working in the data governance discipline.   Please click here to view a PowerPoint overview of the DGPO.

EDM COUNCIL

About the EDM Council
The EDM Council is a neutral business forum founded by the financial industry to elevate the practice of data management as a business and operational priority. The prime directive is to ensure that all consumers (business and regulatory)  have trust and confidence that data is precisely what is expected without the need for manual recalculation or multiple data transformations. There are four programs of the Council:
•    Data Content Standards (FIBO): the standards-based infrastructure needed for operational management (identification, semantic language of the contract, classification).  We own the industry ontology for financial instruments and entity relationships and make it available as an open source standard
•     Data Management Best Practices (DCAM): the science and discipline of data management from a practical perspective (data management maturity, data quality, benchmarking).
•    Data Implications of Regulation: translating the legislative objectives of transparency, financial stability, compressed clearing and cross-asset market surveillance into regulatory objectives and practical reporting requirements.
•    Business Network: global meeting ground, CDO Forum and mechanism for sustainable business relationships
There are 135 corporate members of the Council (http://www.edmcouncil.org/councilmembers). We are governed by a board of 24 (http://www.edmcouncil.org/board). For more information visit www.edmcouncil.org.

BCS Data Management Specialist Group (DMSG)

The BCS Data Management Specialist Group (DMSG) helps Data Management professionals support organisations to achieve their objectives through improved awareness, management, and responsible exploitation of data.
We run several events each year whose focus areas include:
•    The benefits of managing data as an organisational asset
•    Skills for exploitation of data
•    Data governance as a ‘Business As Usual’ activity
•    Compliance with legislation, particularly that relating to data protection, data security and ethical usage of data
Our audience is anyone with an interest in the benefits to be gained from data. This includes: Chief Data Officers (CDO); Senior Information Risk Officer (SIRO); data managers/stewards; data governance officers; data protection/security advisors; data scientists; and business/data/database analysts.

IQ International

IQ International (abbreviated as IQint), the International Association for Information and Data Quality, is the professional association for those interested in improving business effectiveness through quality data and information. All, including full-time practitioners, those impacted by poor data and information quality, and those who just want to learn more, are welcome!

Media Partners

IT-LATINO.NET

IT-latino.net is the most important online Hispanic IT Media Network. With more than 120,000 registered users we have become an important online IT Business Forum organizing daily webinars and conferences on different Technology issues. We inform regularly a strong IT community from both sides of the Atlantic: Spain and Latin America.

Modern Analyst

ModernAnalyst.com is the premier community and resource portal for business analysts, systems analysts, and other IT professionals involved in business systems analysis. Find what you need, when you need it. The ModernAnalyst.com community provides Articles, Forums, Templates, Interview Questions, Career Advice, Profiles, a Resource Directory, and much more, to allow you to excel at your work. From junior analysts to analysis managers, whether you integrate off-the-shelf products, perform systems analysis for custom software development, or re-engineer business processes, ModernAnalyst.com has what you need to take your career to the next level.

Silicon UK

Silicon UK  is the authoritative UK source for IT news, analysis, features and interviews on the key industry topics with a particular emphasis on IoT, AI, cloud and other transformative technologies.   The site is your guide to the business IT revolution, offering other resources such as jobs, whitepapers and downloads alongside its coverage.   Stay informed, register to the newsletters.

Via Nova Architectura

A number of thought leaders in the area of business – and IT architectures have set up a digital magazine on architecture: Via Nova Architectura. Although started as an initiative within the Netherlands, the magazine should reach all those interested in the area of architecture, where-ever they live. Via Nova Architectura aims to provide an accessible platform for the architecture community. It is meant to be the primary source of information for architects in the field. The scope of Via Nova Architectura is “digital” architecture in the broadest sense of the word: business architecture, solution architecture, software architecture, infrastructure architecture or any other architecture an enterprise may develop to realize its business strategy.

Technology Evaluation Centers

Technology Evaluation Centers (TEC) helps organizations choose the best enterprise software solutions for their unique needs—quickly and cost effectively. With detailed information on over 1,000 solutions in the world’s largest vendor database, TEC delivers a broad range of evaluation and selection resources to help ensure successful software selection projects. As impartial software evaluators since 1993, TEC’s expert team of analysts and selection professionals are involved in thousands of software selection projects every year. The TEC newsletter goes out to 920,000 subscribers and is available in 4 languages.  Visit TEC: www.technologyevaluation.com.  
Subscribe to the TEC Newsletter: http://www.technologyevaluation.com/newsletter-subscribe/