Conference Day 2 and Exhibits - 17 May 2017

09:00-10:00 PLENARY
KEYNOTE
How to Create Massive IMPACT and be an Effective Zoo Keeper
Nigel Risner, Motivational & Inspirational Speaker    
10:00-10:30   Networking Break and Exhibits
10:30-11:15 DG
KEYNOTE
Key Factors in Successful Data Governance
Michael Bendixen, Data Governance Manager, Grundfos
MDM
ANALYST
KEYNOTE
Field Reports for 'Top 20' MDM Solutions
Aaron Zornes, Chief Research Officer, The MDM Institute
11:20-12:05 DG Track 1

Governing Asset Data to Reduce TCO
Rolf Emmens, Data Quality Officer, Amsterdam Airport Schiphol
Stefan Van der Weide, Manager Asset Data Management & Business Analytics, Amsterdam Airport Schiphol
DG Track 2
Establishing Data Management within a Large Regulated Utility
Jacqueline Harrison, Data & Information Manager, National Grid
Chris Bradley, Information Strategist, Data Management Advisors Ltd
MDM Track 1

Agility to Support Changing Business Needs
Bradley Smith, Group Master Data Services Manager, Meggitt
MDM Track 2
Implementing Master Data Governance in Large Complex Organisations
Charlotte Gerlach Sylvest Senior Master Data Governance Manager, Coloplast
12:05-13:30   Lunch and Exhibits
12:30-12:55 Perspective
Session
Entity
Perspective
Session
TBA
13:00-13:25 Perspective
Session
The Right Approach to Achieving the Highest Returns from MDM
Michael Ott, Senior VP, Innovative Systems
Perspective
Session
TBA
13:30-14:15 DG Track 1
Creating and Sustaining a Data Governance Function at The Co-operative Bank
Suzanne Coumbaros, Head Data Governance, The Co-operative Bank
DG Track 2
A Data Governance Roadmap, Building From a Single Customer View
Fiona Healy, Senior Business Analyst, Dixons Carphone
Mary Drabble, MDM Consultant & Customer Success Manager, Agile Solutions GB
MDM Track 1
Field Reports for 'Top 10' MDG Solutions
Aaron Zornes, Chief Research Officer, The MDM Institute
MDM Track 2
PIM as the Core of Digital Eco-Systems
Naima El Omari, Information System Project Manager, Dorel Juvenile
14:20-15:05 DG Track 1
Data Governance for Big Data Analytics
Bas-Jeroen Busscher, CEO of Arena do Brasil and DG Lead and Corporate lawyer, Amsterdam Innovation ArenA
Nick Martijn, Senior Consultant, Enterprise Data Management, KPMG IT Advisory
DG Track 2
Implementing a Data Governance Framework – When One Size Does Not Fit All!
Nathan Young, Data Quality & Governance Manager, Maritime - Naval Ships, BAE Systems
MDM Track 1
Making Master Data Fashionable - Transforming Information Chaos into a Governance-Driven Culture
Erika Bendixen, MDM Team Leader, Bestseller A/S
MDM Track 2
Retail Grocery in a Digital World
Caroline Schofield, Product Data Manager, Waitrose
Ivo-Paul Tummers, Managing Director, Jibes
15:05-15:30   Networking Break and Exhibits
15:30-16:15 DG Track 1 Grooming Data Stewards
Sue Geuens, Head: Data Standards & Best Practice Adoption, Barclays & President DAMA International
DG Track 2
Getting Data Governance on Track at Network Rail
Davin Crowley-Sweet, Professional Head of Asset Data, Network Rail
Sara Monsef, Deloitte MCS Limited
Dr. Timothy King, Principal Consultant, LSC Group
MDM Track 1

Using a Graph to Manage Multi-Dimensional Customer Data to Discover the Single Point of Truth
Scott Benson, Head of Architecture, GBG
MDM Track 2
Field Reports for 'Top 10' RDM Solutions
Aaron Zornes, Chief Research Officer, The MDM Institute
16:20-17:05 DG Track 1 Establishing Data Governance for a Data Driven Future
Douglas Silverstone, Thames Valley Housing
DG Track 2
Developing Data Governance in a Large Middle East Bank
Hiyan Zoubi, Head of Information and Data Governance, Riyad Bank
Chris Bradley, Information Strategist, Data Management Advisors Ltd
MDM Track 1

Building an Enterprise Reference Data Hub
Thomas Place, Director of Data Management & Governance, First Data Corporation
MDM Track 2
Establishing Master Data in a Federated & Outsourced Environment
Alex Bähr, Director of Global Supply Chain & Sustainability – Process & Data COE, McDonald’s
17:10-17:20   Conference Close
Aaron Zornes, The MDM Institute
Jan Henderyckx, Inpuls   
09:00–10:00 PLENARY KEYNOTE
Wednesday
17 May
09:00–10:00

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How to Create Massive IMPACT and be an Effective Zoo Keeper
Nigel Risner, Motivational & Inspirational Speaker  

In an ever-changing world and with pressures that come from a global source how do we make sure our teams are "in the room" and making an IMPACT.  Nigel will share his 6-stage approach for keeping people energised, focused and most importantly achieving results.

He will also include a fun inter-active communication session that will have delegates talking about it for days, weeks and months to follow.

In his unique style, he will identify everyone in the room and share with them how to manage the animals in their workplace by being an effective zoo keeper.

  • The power of focus
  • The cost of internal terrorists
  • The importance of communication

Featured Speaker:

Nigel Risner Nigel Risner
Motivational & Inspirational Speaker  

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Wednesday
17 May
10:00–10:30
Networking Break and Exhibits
10:30–11:15 KEYNOTES

Wednesday
17 May
10:30–11:15

DG
KEYNOTE

 

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DG Keynote: Key Factors in Successful Data Governance
Michael Bendixen, Data Governance Manager, Grundfos

Since 2012 Grundfos has been on a journey to implement Data Governance across the entire organisation. During their journey, lessons have been learnt and they have identified some of the key factors in demonstrating the business value of Data Governance. These are the critical elements that has made a real difference in obtaining and maintaining executive management attention and sponsorship on Data Governance in Grundfos. In this session, delegates will learn:
  • How Grundfos started and the journey they have been on
  • How Data Governance is organised and who is driving it
  • The Data Governance Framework in which they operate
  • What the key factors are that have made Data Governance a success
  • What they have achieved and where they still have challenges

Featured Speaker:

Michael Bendixen Michael Bendixen
Data Governance Manager
Grundfos

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Wednesday
17 May
10:30–11:15

MDM
KEYNOTE

 

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MDM Analyst 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 have to 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 further enliven the MDM evaluation process, enterprises are pressed to decide between the safety of mega vendor solutions (slow to innovate, high price tag, we-are-the-world mentality) and that of best-of-breed solutions providers (productivity of graph/semantic UIs, innate Cloud and Big Data support, relatively small software firms, etc.).  To cope during 2017-18, many enterprises will increasingly face these trade-offs as they embark on their MDM journey.  This session will focus on the why and how of 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, SOA-based web services, data service provider, BPM-centric, etc.
  • Applying a rigorous methodology to product evaluations for both mega vendor solutions (IBM MDM, Informatica MDM, Microsoft MDS, Oracle MDM, SAP MDG) and more pure play (Ataccama, Enterworks, IBI MD Center, Magnitude, Orchestra Networks, Riversand, Semarchy, Stibo, Talend, Teradata, TIBCO, VisionWare, et al)

Featured Speaker:

Aaron Zornes Aaron Zornes
Chief Research Officer
The MDM Institute

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s11:20–12:05 CONCURRENT SESSIONS

Wednesday
17 May
11:20–12:05

DG Track 1

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Governing Asset Data to Reduce TCO
Rolf Emmens, Data Quality Officer, Amsterdam Airport Schiphol
Stefan Van der Weide, Manager Asset Data Management & Business Analytics, Amsterdam Airport Schiphol

As with many airports, asset maintenance forms a significant portion of operating costs. To reduce costs (eg landing fares) Schiphol has started a program to obtain more value from the asset while lowering TCO: Plan, Design, Build and Maintain the asset smarter than before. This also initiated a Data Management program – after all one cannot predict maintenance if one doesn’t have reliable data. The purpose of the program is to allow the asset manager to perform analysis at asset level of cost, function (benefit) and risk associated with that asset. To improve the available data, a large data quality program has been running for over a year.

Key take-aways:

  • Implementing data governance in an asset management environment
  • Dealing with ‘asset’ as a master data object
  • MDM as a starting point for analytics and using analytics as key component in upgrading data quality
  • Transition from data orientated to data & process orientation

Featured Speakers:

Rolf Emmens Rolf Emmens
Data Quality Officer
Amsterdam Airport Schiphol

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  Stefan Van der Weide Stefan Van der Weide
Manager Asset Data Management & Business Analytics
Amsterdam Airport Schiphol

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Wednesday
17 May
11:20–12:05

DG Track 2

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Establishing Data Management within a Large Regulated Utility
Jacqueline Harrison, Data & Information Manager, National Grid
Chris Bradley, Information Strategist, Data Management Advisors Ltd
National Grid is a large regulated utility operating with large volumes of different types of data in two distinct territorial operations. Their drive to create the case for an improved approach to Data Management helped articulate the role of data in the organisation.  Increasingly, their conversations have improved senior leader recognition that data is one of their most important corporate assets.  Robust data provides the basis for informed decision making and enables them to measure and improve performance, underpinning the delivery of strategic objectives.  The effective management of data is also essential to the delivery of safe, seamless and efficient services to their customers.

In this session we will:

  • Explain the core ingredients which made their most recent approach successful
  • Describe how they created a ‘pull’ for data management (rather than relying on the traditional ‘push’ approach). 
  • Provide analysis of the rationale and benefits of each of the core ingredients in their approach
  • Suggest how these will potentially help you shape your own data management strategies in your own organisations.

Featured Speakers:

Jacqueline Harrison Jacqueline Harrison
Data & Information Manager
National Grid

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  Chris Bradley Chris Bradley
Information Strategist
Data Management Advisors Ltd

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Wednesday
17 May
11:20–12:05

MDM Track 1

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Agility to Support Changing Business Needs
Bradley Smith, Group Master Data Services Manager, Meggitt

The world has become smaller.  Businesses, especially Manufacturing, need to adopt and change quicker to meet ever increasing marketplace demands which in turn may propagate a spiral of change that could become costly, as additional resources are thrown at projects to reduce time-to-value.  But what can we do to ensure our functions and support models have the agility to support ever changing business needs? This session shall provide insight, and discussion on why strategic partnerships are so important, by discussing the following topics:

  • Justifying the importance of MDM outside of IS/IT functions
  • Focusing on the importance of key expertise within deployment teams
  • Providing the necessary Governance model to accommodate frequency of change

Featured Speaker:

Bradley Smith Bradley Smith
Group Master Data Services Manager
Meggitt

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Wednesday
17 May
11:20–12:05

MDM Track 2

 

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Implementing Master Data Governance in Large Complex Organisations
Charlotte Gerlach Sylvest, Senior Master Data Governance Manager, Coloplast
Coloplast is a leading medical device company with revenues of approximately €1.8 billion and 10,000 employees worldwide.  The company develops products and services to make life easier for people with deeply and private medical conditions.  2013 was the year that master data governance was placed on the Coloplast agenda with the purpose to establish a master data governance framework and a product hub to enable accurate and reliable master data through ownership, processes and approved definitions.

This session will cover the journey of master data governance within Coloplast, our lessons learned, our challenges and our successes.  In this session, delegates will learn best practises concerning:

  • Initiating the Master Data Governance journey via coordination of Senior Business & IT Stakeholder management
  • Developing & instantiating a Master Data Governance model for a large, complex organisation
  • Focusing on both on operational level & strategic level to ensure Master Data Governance success 

Featured Speaker:

Charlotte Gerlach Sylvest Charlotte Gerlach Sylvest
Senior Master Data Governance Manager
Coloplast

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Wednesday
17 May
12:05–13:30

Lunch & Exhibits

PERSPECTIVE SESSIONS

Wednesday
17 May
12:30–12:55

Perspective
Session

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Entity

s

Wednesday
17 May
12:30–12:55

Perspective
Session

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TBA

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Wednesday
17 May
13:00–13:25

Perspective
Session

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The Right Approach to Achieving the Highest Returns from MDM
Michael Ott, Senior VP, Innovative Systems.

Organizations have historically struggled with controlling implementation time, cost, and risk and deriving value from MDM initiatives. This is why many organizations have a less than favorable view of investment in MDM. However, the right approach can quickly deliver high returns while minimizing risk.

This session will focus on proven methods for helping organizations quickly implement and derive value from MDM and will cover best practices for these three critical areas:

  • Planning and Preparation
  • Implementation and Integration
  • Extending MDM to Enable Specific Business Use Cases

Featured Speaker:

Michael Ott Michael Ott
Senior VP
Innovative Systems.

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Wednesday
17 May
13:00–13:25

Perspective
Session

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TBA

13:30–14:15 CONCURRENT SESSIONS

Wednesday
17 May
13:30–14:15

DG Track 1

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Creating and Sustaining a Data Governance Function at The Co-operative Bank
Suzanne Coumbaros, Head Data Governance, The Co-operative Bank
Every organisation has its own vision and they have developed a unique strategy to fulfil this vision. Each business operates with different values, ethics, principles and people, making their data governance need distinctive to one another.

By better understanding your organisations drivers you can use aligned key data metrics, to motivate and sustain the right fit data governance function for the company and when all else fails you can always play the unfailing data governance trump cards.

If you attend this session you will gain an understanding of how to use your company’s data and strategy, to motivate and sustain, the right fit data governance function for your company.

  • How the data governance function was created and sustained at the Co-operative Bank
  • Data governance is not one size fits all · Data governance needs will vary per organisation
  • Data metrics that can be used to support data governance
  • When all else fails use your data governance trump cards

Featured Speaker:

Suzanne Coumbaros Suzanne Coumbaros
Head Data Governance
The Co-operative Bank

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Wednesday
17 May
13:30–14:15

DG Track 2

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A Data Governance Roadmap, Building From a Single Customer View
Fiona Healy, Senior Business Analyst, Dixons Carphone
Mary Drabble, MDM Consultant & Customer Success Manager, Agile Solutions GB
Following the merger of Dixons and Carphone Warehouse, the Customer Data Management Function is leading a program to maximise the value of data to generate strategic insights and better customer experiences across multiple channels. In this session we will describe the journey undertaken by Dixons Carphone to-date, the roadmap and longer term vision, covering:
  • Creation of a Single Customer view from numerous legacy systems, spanning 6 organisational brands
  • Establishment of a wider Data Governance organisation
  • Developing the supporting people and process capabilities

Featured Speakers:

Fiona Healy Fiona Healy
Senior Business Analyst
Dixons Carphone

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  Mary Drabble Mary Drabble
MDM Consultant & Customer Success Manager
Agile Solutions GB

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Wednesday
17 May
13:30–14:15

MDM Track 1

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Field Reports for 'Top 10' MDG Solutions
Aaron Zornes, Chief Research Officer, The MDM Institute

Master data, reference data, meta data.  It is universally agreed that Data Governance (DG) is critical to achieving sustainable and effective MDM (also RDM and MM).  Failure to execute DG concurrently with an MDM program greatly decreases the probability of success and economic sustainability of MDM programs. Clearly, DG is both synergistic and co-dependent with MDM.  When deploying MDM, a proper 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, DG is more than a single product or process, rather, it is an ecosystem of products, processes, people, and information.  At present, DG for MDM is moving beyond simple stewardship to convergence of task management, workflow, policy management and enforcement.

Then why are both the mega vendors and boutique/best-of-breed vendors still lagging in this critical area?  Understanding the scope, diversity and limitations of current DG solution offerings for master data 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.   Moreover, why the marketing dogma and confusion over such mundane concepts as “integrated” and “pro-active”?

Through 2017-18, 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 productising such lightweight DG frameworks while mega MDM software providers will struggle to link governance process with process and data hub technologies.  By 2019-20, 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 of master data solutions — e.g., decision rights management, 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

Featured Speaker:

Aaron Zornes Aaron Zornes
Chief Research Officer
The MDM Institute

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Wednesday
17 May
13:30–14:15

MDM Track 2

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PIM as the Core of Digital Eco-Systems
Naima El Omari, Information System Project Manager, Dorel Juvenile

Dorel Juvenile is the world's leading juvenile products company. The company’s products are available in more than 100 countries and developed and supported by 7,000 highly-driven professionals in 25 different countries.

Having a single source of truth for multi-channeling in a complex organization was the key driver in selecting and implementing a PIM system for Dorel.  The main goal was to deliver data centralization and access management to increase the efficiency of content management across brands, channels and countries and improving the quality of content.

How does Dorel respond to the various channels they want to serve? How can content management be used efficiently and effectively despite the complexity of multiple brands and the variety of stakeholders? What is the effect of having qualitative content on the business goals, e.g. conversion rate?

Digital content management is a journey where opportunities pop up along the way.  During this presentation, not only will the tool be described from a technology point of view, but also the importance of connecting people, process, content and tools to roll out an iteratively successful PIM system. Best practices will show how data consistency and a single source of truth leads to a higher conversion rate and also unlocks opportunities for better internal communications.   Topics to be discussed include:

  • Enabling an ensured customer experience by providing consistent, meaningful & context-optimized master data to every channel & every customer need – current & future
  • Providing high-quality golden records beyond the article/SKU level by also providing different aggregation levels such as: bundles/kits, sets/marketing products & other perspectives that customers & marketing have
  • Ensuring a consistent business glossary across all applications for attributes, class models & taxonomies – including a central set of tags to ensure comparability & consistence across applications for search, filtering & reporting

Featured Speaker:

Naima El Omari Naima El Omari
Information System Project Manager
Dorel Juvenile

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14:20–15:05 CONCURRENT SESSIONS

Wednesday
17 May
14:20–15:05

DG Track 1

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Data Governance for Big Data Analytics
Bas-Jeroen Busscher, CEO of Arena do Brasil and DG Lead and Corporate lawyer, Amsterdam Innovation ArenA
Nick Martijn, Senior Consultant, Enterprise Data Management, KPMG IT Advisory
The Amsterdam ArenA is a large football stadium in the Netherlands. In its daily operations, ArenA collects a superfluous amount of data on a range of activities, such as solar panels, lights, Wi-Fi browsing, purchasing behaviour and much more. As part of their innovative platform, Amsterdam ArenA has set up a big data analytics platform called KAVE on Azure in collaboration with KPMG. The large processing capacity of the platform allows it to be the home for large scale big data analyses, as well as data from external providers.

Although it is an extremely intriguing idea to collect and analyse data from companies, government and the ArenA itself, there are several challenges that arise, such as: How do they mitigate potential compliance issues that may arise from combining different datasets? How can they ensure external data providers that their data is not used for purposes other than desirable, even in big data analytics? Who is the owner of the data on the platform and how do they convince data providers that the platform operations are properly controlled? Though at the same time, how do they make sure theey do not take away the innovative and playground character of the platform by being too strict?

To facilitate this, ArenA designed and implemented data governance for big data analytics, including a governance organization and a data lifecycle process. In this session they will share their solution and experiences.  Attendees will learn:

  • Key governance challenges with innovative big data analytics, such as data privacy, user access and data ownership
  • How to gain control over the application of big data analytics with an enterprise using data governance
  • Balancing the controlled environment created by data governance and the innovative “playground” of big data analytics

Featured Speakers:

Bas-Jeroen Busscher Bas-Jeroen Busscher
CEO of Arena do Brasil
and DG Lead and Corporate lawyer
Amsterdam Innovation ArenA

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  Nick Martijn Nick Martijn
Senior Consultant, Enterprise Data Management
KPMG IT Advisory

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Wednesday
17 May
14:20–15:05

DG Track 2

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Implementing a Data Governance Framework – When One Size Does Not Fit All!
Nathan Young, Data Quality & Governance Manager, Maritime - Naval Ships, BAE Systems
The aim of the session is to explain the challenges faced when we started to introduce a new Data Governance framework into the Type 26 programme at BAE Systems Naval Ships. How we needed to adapt our approach to meet the challenges head on of an ingrained culture struggling to adapt to change and think holistically about the data used on the programme. It is envisaged at the end of the session the delegates will have learnt;
  • What are the signs that the standard approach is failing to make an impact
  • Steps needed to adapt your approach whilst ensuring the ultimate goal is achieved
  • Getting your organisation/business to understand and utilise the value that Data Governance brings

Featured Speaker:

Nathan Young Nathan Young
Data Quality & Governance Manager, Maritime - Naval Ships
BAE Systems

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Wednesday
17 May
14:20–15:05

MDM Track 1

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Making Master Data Fashionable - Transforming Information Chaos into a Governance-Driven Culture
Erika Bendixen, MDM Team Leader, Bestseller A/S
BESTSELLER is a family-owned clothing and accessories company founded in Denmark in 1975, which provides fast and affordable fashion for women, men, teenagers and children.  The company’s products are available online, in branded chain stores and in multi-brand and department stores across the world.  As a global company with diverse sales channels, “customer data standardization” is crucial to support business reports.  BESTSELLER’s Global Master Data department was tasked with standardizing all customer data for our different subsidiaries. This effort required centralizing most of the data lifecycle processes – not only for customer data but also vendor and location data – in order to align across all companies.  Now BESTSELLER is undertaking another data management transformation, one that will move the business towards a decentralized MDM model.  In this session, you will learn about the challenges faced by the BESTSELLER MDM organization, lessons learned and best practises you can apply inside your own organization.  Some of the topics that will be discussed include:
  • Evolving a central MDM team into a Global Governance function
  • Developing the business & organizational justification for decentralized MDM
  • Designing a practical approach to creating your own best practice

Featured Speaker:

Erika Bendixen Erika Bendixen
MDM Team Leader
Bestseller A/S

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Wednesday
17 May
14:20–15:05

MDM Track 2

 

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Retail Grocery in a Digital World
Caroline Schofield, Product Data Manager, Waitrose
Ivo-Paul Tummers, Managing Director, Jibes
With over 350 branches, Waitrose is the sixth largest grocery retailer in the UK. Recently, Waitrose introduced a digital transformation strategy creating a data lake foundation to guide the product life cycle.  By bringing together both Product and Customer domains, Waitrose customers will evolve from a collection of individual channels to an ecosystem of integrated data and services. 

Waitrose has started its digital transformation where the foundation of the change is the implementation of MDM and Data Governance, growing into an ecosystem of integrated services.  This session will cover the Waitrose experience through its MDM journey with pitfalls and successes and will include:

  • Applying MDM as the foundation to future transformation
  • Overcoming cultural change challenges formed by transformational data programmes
  • Leveraging lessons learned from the implementation of MDM & Data Governance - the journey so far

Featured Speakers:

Caroline Schofield Caroline Schofield
Product Data Manager
Waitrose

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  Ivo-Paul Tummers Ivo-Paul Tummers
Managing Director
Jibes

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Wednesday
17 May
15:05-15:30
Networking Break and Exhibits
15:30–16:15 CONCURRENT SESSIONS

Wednesday
17 May
15:30–16:15

DG Track 1

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Grooming Data Stewards
Sue Geuens, Head: Data Standards & Best Practice Adoption, Barclays & President DAMA International

Data Stewardship - the job that nobody wants but everyone has - so how do we make it real and get people to buy in to becoming a Data Steward?

Data Stewardship is very tough to sell. You are expecting individuals inside your organisation to take on an accountability that they may not have full control over and do that on top of their day job. This presentation is aimed at providing a how to case study on what you need to do to firstly sell the concept and secondly groom colleagues to become great data stewards and sustain data governance in your organisation.

  • Selling the Concept
  • Defining the Good vs Not Good for a Data Steward
  • Training the Data Steward to become a Change Agent
  • Branding the Data Steward for instant recognition

Featured Speaker:

Sue Geuens Sue Geuens
Head: Data Standards & Best Practice Adoption
Barclays & President DAMA International

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Wednesday
17 May
15:30–16:15

DG Track 2

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Getting Data Governance on Track at Network Rail
Davin Crowley-Sweet, Professional Head of Asset Data, Network Rail
Sara Monsef, Deloitte MCS Limited
Dr. Timothy King, Principal Consultant, LSC Group
As one of the largest asset management organisations in Britain, Network Rail has an abundance of asset-related data. This data is itself an asset which, if not properly managed, can impose serious risk to Network Rail's ability to deliver a safe, reliable and efficient railway. Lack of confidence in the quality of the data by Network Rail personnel, regulators, and the public compromises the organisation’s ability to make effective data-driven decisions and stakeholders’ trust in the railway.

Leveraging upon the ISO 8000 part 150, the international standard for data quality management, Network Rail in partnership with Deloitte and LSC Group has developed the quality management system for asset related data incorporating data governance and assurance. This management system takes a risk-based approach to delivering required outcomes rather than compliance driven to support business units in embedding governance and data management principles in line with their business priorities, culture, and the devolved environment within Network Rail operates.

Lessons learned from the session:

  • Developing a framework based upon leading industry practices from ISO 8000 and ISO 55000
  • A risk-based approach rather than compliance based approach providing clarity on risk exposure and increased flexibility in embedding the data governance framework
  • Embedding assurance into business practices and driving continuous improvement
  • Key lessons learned on building the business case for governance, stakeholder engagement and the focus on communications

Featured Speakers:

Davin Crowley-Sweet Davin Crowley-Sweet
Professional Head of Asset Data
Network Rail

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  Sara Monsef Sara Monsef
Deloitte MCS Limited

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Dr. Timothy King Dr. Timothy King
Principal Consultant
LSC Group

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Wednesday
17 May
15:30–16:15

MDM Track 1

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Using a Graph to Manage Multi-Dimensional Customer Data to Discover the Single Point of Truth
Scott Benson, Head of Architecture, GBG
With over 650 team members, GBG is a global leader in 24 locations across 15 countries in Europe, the Americas, Asia-Pacific and Africa.  GBG provides solutions to many of the world’s biggest organisations, from established brands like HSBC and Zurich Insurance to disruptive newcomers such as Stripe and Xpress Money.

GBG is focused on Identity Data Intelligence to enable informing decisions between people and organisations globally.  Using graph technologies, GBG’s solutions capture all the richness of the modern world to improve data clarity and help build better relationships with customers.  Topics to be discussed include: 

  • Understanding graph advantages over more traditional technologies
  • Applying Graph & NoSQL technologies to simplify MDM
  • Enhancing an MDM solution to drive out more business value

Speaker:

Scott Benson Scott Benson
Head of Architecture
GBG

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Wednesday
17 May
15:30–16:15

MDM Track 2

 

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Field Reports for 'Top 10' RDM Solutions
Aaron Zornes, Chief Research Officer, The MDM Institute

The impact of poor or non-existent reference data management (RDM) is profound.  Errors in reference data ripple outwards affecting quality of master data in each domain, which in turn affects quality in all dependent transactional and analytical systems.  Because reference data is used to drive key business processes and application logic, errors in reference data can have a major negative and multiplicative business impact.  More than 55% of large enterprises surveyed by the MDM Institute are planning on implementing RDM in the next 18 months.  This session will focus on the “why” and “how” of RDM by providing insight into: Why is RDM mission critical today?  How does RDM differ from (how is it similar to) MDM?  What are the top business drivers for RDM?  Where are most organizations focusing their RDM efforts?  Topics to be discussed include:
  • Understanding the pros & cons of commercial RDM solutions vs. custom-built (“Buy vs. Build”)
  • Applying a “top10” evaluation criteria methodology to product evaluations for both mega vendor solutions (IBM RDM Hub, Informatica, Oracle DRM) and more pure play (Ataccama, Collibra, Magnitude, Orchestra, Software AG, Teradata, TopQuadrant, et al)
  • Planning for the future of RDM (dimension management for Big Data marts) & its relationship to overall MDM programs

Featured Speaker:

Aaron Zornes Aaron Zornes
Chief Research Officer
The MDM Institute

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16:20– 17:05 CONCURRENT SESSIONS

Wednesday
17 May
16:20–17:05

DG Track 1

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Establishing Data Governance for a Data Driven Future
Douglas Silverstone, Thames Valley Housing
Thames Valley Housing is a growing organization with innovation in abundance. Data is everywhere and used in many different guises. We have a wide project portfolio, and operate in an ever more regulated environment. We have ambitions to be a truly data driven organization but to get there we first have to understand our data, deliver it securely and meet compliance objectives such as PCI and GDPR. So, with so many priorities, how do you deliver value for the organization without getting bogged down by the necessities? This session will look at the steps we took to establish a data governance framework within a medium sized housing association. We’ll walk through our data governance journey, how we got buy in, and ensured users understood the value of their data.

Attendees will learn:

  • Establishing a data governance program
  • Growth vs Control, Security vs Flexibility, and Admin Vs Insight
  • Where’s the data owner when you need them?

Featured Speaker:

Douglas Silverstone Douglas Silverstone
Thames Valley Housing

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Wednesday
17 May
16:20–17:05

DG Track 2

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Developing Data Governance in a Large Middle East Bank
Hiyan Zoubi, Head of Information and Data Governance, Riyad Bank
Chris Bradley, Information Strategist, Data Management Advisors Ltd
Nobody can be unaware of the critical importance that data has in the Financial Services sector.  This is particularly true for Riyad Bank and its effective and professional management is crucial to the success of the Bank.  At Riyad Bank they need to ensure that their data is genuinely managed as a business asset and much like their other core assets that it is subject to professional rigours and disciplines; and crucially that is recognised across all the Bank as being an enterprise asset to be managed for the benefit of all stakeholders and of course be linked to their core strategic initiatives.  An Enterprise Data Management program sponsored by the CEO has been established and one of the early steps was to establish Data Governance especially the organisation structures, roles and responsibilities, and crucially a stakeholder communication & engagement plan. 
  • Hear how the case was made for the Data Governance strategy & the challenges they were seeking to address
  • Outline the steps to introduce Data Governance into the Bank in bite sized chunks
  • Describe why they selected Risk Data Aggregation as their pilot area and what they accomplished
  • How Data Governance fitted within the overall Enterprise Data Management program

Featured Speakers:

Hiyan Mhd Zoubi Hiyan Zoubi
Head of Information and Data Governance
Riyad Bank

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  Chris Bradley Chris Bradley
Information Strategist
Data Management Advisors Ltd

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Wednesday
17 May
16:20–17:05

MDM Track 1

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Building an Enterprise Reference Data Hub
Thomas Place, Director of Data Management & Governance, First Data Corporation

First Data is the world’s leading payment processing company and provides electronic commerce and payment processing services to financial institutions, governments and merchants in more than 100 markets around the world. The company’s growth strategy is based on acquisition. Thus, their IT and data landscape has faced many challenges resulting from incompatible or different technical stacks within their acquired organizations.  Their Enterprise Reference Data Hub enables the whole company (including new departments working with Hadoop) to access and use data from a single managed source of truth across departmental lines.
Join this session to learn:
  • Building an Enterprise Reference Data Hub
  • Improving data quality to help save millions of euros in detecting fraud & billing errors
  • Leveraging patterns, partners, successes, failures & lessons learned for the journey ahead

Speaker:

Thomas Place Thomas Place
Director of Data Management & Governance, First Data Corporation

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Wednesday
17 May
16:20–17:05

MDM Track 2

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Establishing Master Data in a Federated & Outsourced Environment
Alex Bähr, Director of Global Supply Chain & Sustainability – Process & Data COE, McDonald’s
McDonald's is the world's leading global food service retailer with over 36,000 locations in over 100 countries. More than 80% of McDonald's restaurants worldwide are owned and operated by independent local business men and women. The strength of the alignment among the company, its franchisees and suppliers (collectively referred to as the "System") has been key to McDonald's long-term success. By leveraging this System, McDonald’s have been able to identify, implement and scale ideas that meet customers' changing needs and preferences. In addition, this business model enables McDonald's to consistently deliver locally-relevant restaurant experiences to customers and be an integral part of the communities they serve.

In recent years, demand for data and accurate analysis has increased significantly within the Supply Chain function. With master data being at the core of any analysis, McDonald’s has been challenged to establish an MDM system with connected processes that ensure consistent and reliable Supplier and Product information across the system. This effort includes: establishing standards by utilizing GS1 industry norms, implementing a PIM system, and establishing global governance to include all three parties (Company, Franchisee, Suppliers).

This session will discuss McDonald’s learnings during this data journey, including the topics of:

  • Leveraging best practices derived from using industry norms
  • Establishing flexible & scalable governance structures to enable McDonald’s “System” business model
  • Deploying an agile PIM system that also supports other key domains such as Company & Franchisee

Featured Speaker:

Alex Bähr Alex Bähr
Director of Global Supply Chain & Sustainability – Process & Data COE
McDonald’s

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Wednesday
17 May
17:10– 17:20

 

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Conference Close
Aaron Zornes, The MDM Institute
Jan Henderyckx, Inpuls

 

Featured Speakers:

Aaron Zornes Aaron Zornes
The MDM Institute

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  Jan Henderyckx Jan Henderyckxr
Inpuls

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