Pre-Conference Workshops: 2 November 2015

DW/BI Workshops
09:30-12:45
HALF DAY
Business Intelligence & Data Warehousing: A Primer
Erik Fransen, Centennium
09:30-12:45
HALF DAY
Designing the Logical Data Warehouse
Rick van der Lans, R20/Consultancy
09:30-12:45
HALF DAY
Stories and Data Visualization
Martin Sykes, Cambridge Assessment
14:00-17:15
HALF DAY
BI Requirements: Deliver What Your Organization Needs, Not What it Wants
John Ladley, IMCue Solutions
14:00-17:15
HALF DAY
Creating an Analytically-Driven Enterprise – How to Implement an Analytics Program
Claudia Imhoff, Intelligent Solutions
14:00-17:15
HALF DAY
Building a Data Driven Business: Delights and Dangers
Barry Devlin, 9sight Consulting
Enterprise Data Workshops
09:30-17:15
Full DAY
Full Day Workshop Preparation for the Certified Data Management Professional (CDMP) Exams
Chris Bradley, Information Strategist, Independent Consultant & DAMA
09:30-12:45
HALF DAY
Data Quality: Getting back to Basics
Sue Geuens, President, DAMA International & EPI-USE
09:30-12:45
HALF DAY
The Human Side of Data Modelling – Communicating with Stakeholders and Other Mere Mortals
Alec Sharp, Clariteq Systems Consulting
09:30-12:45
HALF DAY
Driving Your Data Governance Program: Best Practices, Direction and Advice
John Ladley, IMCue Solutions
14:00-17:15
HALF DAY
Making Enterprise Data Quality a Reality
Nigel Turner, Global Data Strategy
14:00-17:15
HALF DAY
Business Analysis Techniques for Data Professionals – Getting Involved in Business Processes and Applications
Alec Sharp, Clariteq Systems Consulting
14:00-17:15
HALF DAY
Master Data as a Business Driver: Little Data Can Make the Difference
Jan Henderyckx, Inpuls
Big Data Workshops
09:30-12:45
HALF DAY
Enriching Customer Master Data Using Big Data and Analytics
Mike Ferguson, Intelligent Business Strategies
14:00-17:15
HALF DAY
Explaining the Hadoop and NoSQL Labyrinth
Rick van der Lans, R20/Consultancy
2 November
17:30-17:55
Lightning Talks - Given Straight After Each Other 5 Minutes Each - A light hearted and fun session!
The Library of Alexandria – Old Wisdom not to be Forgotten, Tomas Barta, Semanta
Change will never be this slow again, Martin Sykes, Cambridge Assessment
Data Governance has an Image Problem, Donna Burbank, Global Data Strategy, Ltd
Big Data... perhaps the end of the beginning, Barry Devlin, 9sight Consulting
The Urban [Data] Dictionary: Part IV — This Time it’s Personal, Jon Evans, Equillian
8:30-9:30 Registration, 11:00-11:15 Break, 12:45-14:00 Lunch, 15:30-15:45 Break
DW/BI Workshops
Half Day
Workshop
09:30-12:45
Business Intelligence & Data Warehousing: A Primer
Erik Fransen, Centennium

Both Business Intelligence and Data Warehousing have been around for almost three decades now and have definitely changed the way companies create and apply management information. The Data Warehouse facilitates the registration and unification of business data and in itself is able to create high business value. The data warehouse is the data driven fundament for Business Intelligence.  Business Intelligence, the process of creating information products and insights through reporting and analytic, leverages the huge amounts of data by both data driven and goal driven analyses.  Business Intelligence creates even more business value as it adds the relevant context to the business data.  In this Workshop you will learn the basics of Data Warehousing and Business Intelligence.  Topics covered include:

  • Data Warehousing and Business Intelligence: basics and current state
  • The Agile Data Warehouse: registering all the data, all the time, in all forms
  • Big Data Modelling the Data Warehouse for agility: how to?
  • Master and Meta Data Management:  the glue that holds everything together
  • Business Intelligence:  from reporting to analytics, making the most out of the data warehouse
  • Best practices for organising BI

Featured Speaker:
Erik Fransen      Erik Fransen
Centennium
Half Day
Workshop
09:30-12:45
Designing the Logical Data Warehouse
Rick van der Lans, R20/Consultancy

The classic data warehouse architecture has had a long and successful run, but we’re starting to stretch its abilities to the limit. The logical data warehouse is a modern alternative. It has an architecture consisting of less physical data stores, requires less redundant storage of data, is more suitable for operational BI, and is much more flexible. Mature technology in the form of data virtualization servers exists to develop a logical data warehouse. Products from Cisco, Denodo, Informatica, and RedHat, have proven that large BI systems can be developed using data virtualization. The logical data warehouse offers several practical benefits, including that it’s more agile, it makes adoption of big data easier and more seamless, it allows a management the self-service BI component, it can more easily exploit new data storage technologies such as Hadoop and NoSQL, and is more suited for operational BI applications. This workshop explains the architecture of a logical data warehouse and discusses numerous tips, tricks, and guidelines for designing and developing one.
Featured Speaker:
Rick van der Lans      Rick van der Lans
R20/Consultancy
Half Day
Workshop
09:30-12:45
Stories and Data Visualization
Martin Sykes, Cambridge Assessment

The evidence proves that stories trump data when it comes to persuasion. Stories are easier to understand and relate to. Even so, many people are reticent to tell stories because they believe “the facts” will speak for themselves. Refusal to recognize the power of storytelling places you at risk of having your good information lose attention to less-worthy content.

In this workshop we will look at a few examples, but more importantly, review the techniques to be able to develop and deliver a story to communicate your data. A good data visualization, delivered with a compelling story can blow right through your audience’s mental filters, connect emotionally and increase information retention. If people can remember your content they can act on it.

  • Go beyond seeing other people’s examples to understanding how to create your own data driven stories.
  • Learn the science of stories for effective communication and influence.
  • Link stories and data visualization techniques to increase your impact.
Featured Speaker:
Martin Sykes      Martin Sykes
Cambridge Assessment
Half Day
Workshop
14:00-17:15
BI Requirements: Deliver What Your Organization Needs, Not What it Wants
John Ladley, IMCue Solutions

It is a familiar scenario. Requirements are gathered, a solution is deployed, and the business says “This is not what we asked for.” For too long BI departments have struggled to deliver what the business needs vs. what the business wants. This is a result of applying traditional software development approaches and a stunning lack of business and IT alignment. Yet it is well known that aligning stated business objectives with business intelligence requirements improves both the top line and bottom line of the organization.

John will present the process and techniques to use a “metrics driven” framework to improve clarity but also speed up the business information requirements gathering process. Attendees will learn an approach to rapidly gather business requirements effectively and make the most out of your BI investments.

In this workshop you will learn:

  • How to align your business with BI projects
  • How to define unambiguous requirements
  • How to capture most of your required BI requirements and metrics in an astonishingly short time
Featured Speaker:
John Ladley      John Ladley
IMCue Solutions
Half Day
Workshop
14:00-17:15
Creating an Analytically-Driven Enterprise – How to Implement an Analytics Program
Claudia Imhoff, Intelligent Solutions

Analytics have become the darling of vendors, consultants, and the press. In addition, data scientists are now highly sought after by many enterprises. Yet, the adoption rate for analytics and BI is still hovering between 20 and 30% in most enterprises. Why? What is the problem? How can we improve the adoption of these critical decision support functions? What is needed to implement a successful analytics program?

These are some of the questions to be answered in this timely presentation by Dr. Claudia Imhoff. Getting an analytics program up and running requires the following considerations:

  •  The need for analytics and enterprise strategy for acceptance
  •  Education – not just training
  •  The new way we work
  •  The data scientist, data priest, data interpreter, data engineer – who wins
  •  Best Practices in Data discovery and data visualization
Featured Speaker:
Claudia Imhoff      Claudia Imhoff
Intelligent Solutions
Half Day
Workshop
14:00-17:15
Building a Data Driven Business: Delights and Dangers
Barry Devlin, 9sight Consulting

Data driven business is becoming increasingly important as social media and the Internet of Things offer ever larger quantities of data about people’s thoughts and behaviours, creating new business opportunities for interacting with customers, anticipating their needs and responding proactively to them. This same data allows invasion of personal privacy, customer alienation and market destruction. These opportunities and pitfalls demand much broader thinking and planning than traditional BI projects. This workshop covers:
  • Business drivers and sample use cases for a data driven business
  • Architectural approaches, evolution vs. revolution
  • Positioning data, information, knowledge and meaning
  • Context-setting information and the evolution of metadata
  • Technology choices, focus areas for new tools, hype to avoid
  • Defining a roadmap to and implementing a data driven business
Featured Speaker:
Barry Devlin      Barry Devlin
9sight Consulting
Enterprise Data Workshops
Full Day
Workshop
09:30-17:15
Full Day Workshop Preparation for the Certified Data Management Professional (CDMP) Exams
Chris Bradley, Information Strategist, Independent Consultant & DAMA

This full day workshop covers an overview of the process, tips and techniques of successful CDMP exam taking. In this interactive and informative session, you will learn:
  • What is the CDMP certification process
  • The DAMA-DMBOK & CDMP data exams alignment
  • What topics comprise each exam’s body of knowledge
  • Concepts and terms used in the CDMP exams
  • A Self-assessment of your knowledge and skill through taking the sample exams.

Attendees of the full day workshop will also receive some refresher tuition covering several of the most common topics seen in recent examinations and a practice exam.  Note however this is not a substitute for past experience and education.

Delegates will eligible to take the exams free of charge later.  The DM Core exam will be available from 15th December 2015. Electives will be available by end January 2016 but there may be a few that are available a bit earlier.  As these exams are not available to take at the event there will be no charge for the exams for attendees of this workshop.

Featured Speaker:
Chris Bradley      Chris Bradley
Information Strategist
Independent Consultant & DAMA
Half Day
Workshop
09:30-12:45
Data Quality: Getting Back to Basics
Sue Geuens, EPI-USE and DAMA International

When not talking about Data Governance or Master Data or Data Architecture, the topic of conversation is most likely to turn to Data Quality. A question Sue says she is often asked is whether quality is really important. And if it is, then the How? Where? When? and Who? become the next questions. In a similar manner to Sue’s Practical Data Governance workshop, she turns her mind to providing the answers to these basic questions with practical knowledge, some solid implementation “projects” and lots of down to earth advice. A number of group activities are planned to allow you to get the best out of the session and to leave with an idea of your own next steps!  And yes, she will touch on Big Data and her thoughts around how to manage quality in so much data your head spins!
Featured Speaker:
Sue Geuens      Sue Geuens
EPI-USE and DAMA International

Half Day
Workshop
09:30-12:45
The Human Side of Data Modelling – Communicating with Stakeholders and Other Mere Mortals
Alec Sharp, Clariteq Systems Consulting

Above all, data models should be seen as a means of enabling communication among different stakeholders, including decision-makers, content experts, business analysts, and designers. Unfortunately, the communication often gets lost, either in the clouds, in the weeds, or somewhere off to the side. Whether the modeller has drifted too quickly into abstraction and generalization, or has taken the “deep dive for detail,” the result is the same – confused, frustrated, or detached subject matter experts. The inevitable result? – inaccurate or incomplete models!

It doesn't have to be this way - simple techniques, consistently and regularly applied, will go a long way to ensuring involvement, buy-in, and communication. Drawing on almost 35 years of successful data modelling experience, this presentation will describe core techniques, backed up by practical examples, for helping people appreciate, use, and possibly even want to build data models.

Topics include:

  •  Unclear on the concept – how to think about concept modelling;
  •  “Role induction” for clients – skip the "tutorial" on data modelling and Just Do It!;
  •  Conventions for comprehension – guidelines for data model graphics;
  •  “Scripts” for growing the model – the value of consistency;
  •  "Play well with others" - integrate data modelling with other techniques;
  •  Systems archaeology – show them what they’ve got, and why they don’t like it;
  •  Both sides now – presentation techniques for data modellers.
Featured Speaker:
Alec Sharp      Alec Sharp
Clariteq Systems Consulting
Half Day
Workshop
09:30-12:45
Driving Your Data Governance Program: Best Practices, Direction and Advice
John Ladley, IMCue Solutions

If you believe information is truly an asset, then engaging the entire business is mandatory.  If managing information assets is a business issue, then data governance is a business program. Research shows none of the critical success factors for data governance have anything to do with technology

When business leaders are called upon to "do governance,", they need to learn about concepts like stewardship, data quality, culture change and information management, all while still accomplishing their day-to-day responsibilities.

This workshop will walk the attendees through the assessment, definition, design and deployment of a data governance program from a business view. This presentation is intended for business leaders or managers that are new to data governance, or for data governance functions that are having trouble sustaining themselves. The workshop will cover:

  • How to define Data Governance as a business program – from alignment to operations
  • How to address the most critical success factors for DG
  • Understand the basic core functions that MUST be executed to be sustainable
  • Review a list of key metrics you can deliver immediately to show progress and success
Featured Speaker:
John Ladley      John Ladley
IMCue Solutions
Half Day
Workshop
14:00-17:15
Making Enterprise Data Quality a Reality
Nigel Turner, 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, 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 organisations.  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
Featured Speaker:
Nigel Turner      Nigel Turner
Global Data Strategy
Half Day
Workshop
14:00-17:15
Business Analysis Techniques for Data Professionals – Getting Involved in Business Processes and Applications
Alec Sharp, Clariteq Systems Consulting

Enterprise data management objectives are often met by stepping outside of a pure “data” focus and getting involved with other critical enterprise initiatives. In particular, data management professionals will benefit from skills in business process change, and requirements definition for custom-developed or purchased applications.

This workshop presents a practical, proven, and integrated set of model-based techniques for working with business processes and requirements. At enterprises of all sizes they have been relevant to the business, useful to developers, and surprisingly popular with Agile teams. (Come to the workshop to find out why!)

We’ll open with a quick review of bad advice in the world of business analysis (think “effective written requirements”), the consequences of applying it, and why it just doesn’t work. Next, we’ll look at methods for discovering, scoping, assessing, mapping, and redesigning business processes. Then, we’ll cover related techniques for discovering, documenting, and verifying application requirements using business service specifications (essential in a SOA environment,) and a unique form of use cases. In both cases, we’ll see how to make business-friendly concept models (conceptual data models) and useful logical data models a vital technique.  Some of the questions that will be answered include:

  • How can I develop useful models of end-to-end processes within my natural lifetime?
  • When should I stop modelling the process and shift to other forms to capture requirements?
  • Why separate use cases into external (use case) and internal (services) perspectives?
  • How can I stay at the right level? How do I avoid the “deep dive for detail?”
  • What’s the role of our old friend, data modelling, in all of this?
Featured Speaker:
Alec Sharp      Alec Sharp
Clariteq Systems Consulting

Half Day
Workshop
14:00-17:15
Master Data as a Business Driver: Little Data Can Make the Difference
Jan Henderyckx, Inpuls

Big Data and Analytics are omni-present in many organisations and the mantra of statistical relevance is often used as an excuse for neglecting “little” data. If all your big data is in a data lake you still need to understand what the patterns and insight are describing. The context of these insights will be provided by the data for which you care to manage the life cycle. Proper management of the life-cycle of the business entities and their relationships can give a significant boost to your business outcomes. Unfortunately many master - and reference data projects are not providing the benefits that are anticipated. This workshop focussing on the elements that are essential for delivering effective MDM projects.

Is multi-domain the best approach for handling all your master data or should you look at the next model which is graph based models that have the ability to link and manage just about anything?

  • Project Management
    • Setting the right scope
    • Defining the business case
  • MDM and RDM design principles
    • People, Process and technology
  • Establishing a MDM organisational component
    • How to bring the proper life-cycle management into your organisation?
    • Do you need a MDM COE?
    • Roles and responsibilities for managing the life-cycle
  • Master Data and Reference Data Architecture Patterns
    • Rule/Policy workflow based synchronisation, Registry Style, Virtual MDM, Enterprise MDM, Hybrid MDM
    • Integrating with analytics
  • Modelling the master and reference data
    • How much common vocabulary is mandatory
    • Dealing with different codesets
    • Handling temporal aspects
  • Market Overview
  • Subject specific solutions
    • Party MDM
    • Product MDM
    • Analytical MDM
  • Subject agnostic Solutions
    • Hierarchy Management
    • Reference and code management
    • Model Driven Architecture
    • Graph-based Solutions
Featured Speaker:
Jan Henderyckx      Jan Henderyckx
Inpuls
Big Data Workshops
Half Day
Workshop
09:30-12:45
Enriching Customer Master Data Using Big Data and Analytics
Mike Ferguson, Intelligent Business Strategies

This workshop discusses how you can use Big Data and advanced analytical technologies to enrich customer master data for better customer engagement. It focuses on the different data sources you can use to get new customer insight, the types of data they provide and the analytics needed to produce new customer insight to enrich what you already know.   It then discusses how to use that insight to improve customer engagement
  • How well do you know your customers today?
  • The role of customer master data
  • Identifying new sources to enrich what you know about customers
  • Assessing the characteristics of new customer data sources
  • Using Big Data platforms and analytics to capture customer behaviour and previously unknown relationships
  • Matching and integrating new insights with customer master data in a Big Data environment
  • Identifying next best actions using predictive analytics on enriched customer data
  • Leveraging next best actions for personalised customer engagement
Featured Speaker:
Mike Ferguson      Mike Ferguson
Intelligent Business Strategies
Half Day
Workshop
14:00-17:15
Explaining the Hadoop and NoSQL Labyrinth
Rick van der Lans, R20/Consultancy

MapReduce, Sqoop, Spark, Tez, Yarn, MongoDB, Cassandra, … and the list goes on. Many new data storage technologies have been introduced lately. Some with enormous scalability and performance capabilities. Their price/performance ratio for developing big data systems is unquestionable. But this tidal wave of new modules, technologies, and products have turned into a labyrinth.

Organisations need in-depth and extensive studies to be able to make well-substantiated decisions on which products they need to invest in.

This workshop explains:

  • The roles of all these new modules and products
  • Why do they exist, what are their strengths and weaknesses, when should be used and not used?

A complete and critical picture is painted of all the new technologies for developing big data systems.

Featured Speaker:
Rick van der Lans      Rick van der Lans
R20/Consultancy
2 November
17:30-17:55
Lightning Talks - Given Straight After Each Other 5 Minutes Each - A light hearted and fun session!
The Library of Alexandria – Old Wisdom not to be Forgotten, Tomas Barta, Semanta
Change will never be this slow again, Martin Sykes, Cambridge Assessment
Data Governance has an Image Problem, Donna Burbank, Global Data Strategy, Ltd
Big Data... perhaps the end of the beginning, Barry Devlin, 9sight Consulting
The Urban [Data] Dictionary: Part IV — This Time it’s Personal, Jon Evans, Equillian