PRODUCED BY:

KEYNOTES & FEATURED SPEAKERS INCLUDE:

Why attend this event Europe’s Only Co-Located Conferences on both Data Governance & MDM.

One event, in one to three days, gives you the unique opportunity to leverage the powerful combination of MDM and Data Governance to deliver business outcomes through trusted information.

Five Tracks With More Than Fifty Sessions. The co-located conferences are neither analyst led nor vendor led. Learn from over 60 world renowned independent speakers and major users of MDM and Data Governance.

Focus on End-User Case Studies & Expert Panel Discussions. Choose from over 30 case studies and take an inside look at the successes and challenges behind real-world MDM and Data Governance implementations.

Twelve “Fast Track” Pre-Conference Workshops. Choose from introductory or advanced workshops, enabling you to get up to speed with Data Governance and MDM essentials.

Major MDM & DG Solution Providers. Discuss your MDM and Data Governance challenges with the world’s leading solution providers.

Justification, Strategy & Implementation. The conferences provide an excellent mix of theory, visions and practical implementations.

The “Must Attend” Event for MDM & Data Governance Professionals

IRM UK Presents

19-21 May 2014Radisson Blu Portman Hotel

London, UK

• HSBC• GlaxoSmithKline• Rolls-Royce• Environment

Agency• Shell• Visa Europe• TeliaSonera• Belgacom• TNT Express• Volvo• The Dutch Tax

Office• BAE Systems

Maritime• Barclays Bank• BGL Group• ING Bank• Pricewaterhouse

Coopers• Michelin• Riyad Bank• London Borough

of Camden

• IBM• Groupe Mutuel

Assurance• Goodyear Dunlop

Europe• Meggitt• Capgemini• Aspen• Premier Farnell• Deloitte• Elsevier• Cognizant• Acolyance• Institute St

Gallen• Bankdata• Mediq• Raiffeisen Bank• Ahlsell• AkzoNobel

Decorative Paints• Barry Callebaut• ICON

CASE STUDIES & CONTRIBUTORS INCLUDE:

Strategic IT Training Ltd www.irmuk.co.uk

Master Data Management Summit Europe 2014

Data Governance Conference Europe 2014

2 Co-located Conferences

Jan Henderyckx Envizion

Aaron Zornes The MDM Institute

Bob Seiner KIK Consulting &

TDAN.com

Mike Ferguson Intelligent Business

Strategies

Paul Fulton Head of Enterprise Data Governance

Visa Europe

Andy Moore Process Specialist

- Information Management Rolls-Royce

Anwar Mirza Financial Systems

Director TNT Express

Alain Dubost Head of Master Data

Management Michelin

irmuk.co.uk

SPONSORS:

SUPPORTED BY:

MEDIA SPONSORS:

Technology Evaluation Centers

Group

Booking

Discoun

ts Ava

ilable

MASTER DATA MANAGEMENT KEYNOTES:

DATA GOVERNANCE KEYNOTES:

PLENARY KEYNOTE:

Keynotes

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Master Data Governance to Unify MDM, RDM & Big Data

Governance that spans both data and process is increasingly a key requirement championed by IT executive management. While 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 very notion of MDM. Moreover, Data Governance is increasingly acknowledged as co-dependent and synergistic with such programs. Clearly, Master Data Governance (MDG) will be required to unify these worlds to overcome both organizational and technical issues as well as market dogma.

Through 2014-15, mega vendors such as IBM, Informatica, Oracle, SAP and SAS intend to deliver such MDG capabilities with resultant partner flux. Yet their vendor-centric offerings thwart the notion of heterogeneous data and process integration, and often lack pro-active capabilities and end-to-end data lifecycle management. Concurrently, best-of-breed and niche vendors look to exploit this vacuum (cross-mega vendor governance) yet are stymied by lack of resources and market traction.

For many software vendors and Global 5000 enterprises, Reference Data Management (RDM) is a relatively new offspring of MDM functionality. Increasingly, many large enterprises have begun to make RDM their initial proof-of-concept for MDM evaluations. As a consequence, MDM vendors are rushing to market RDM solutions to apply an MDM approach for centralized governance, stewardship and control. Clearly, managing “simple” reference data will prove to be a key sales entry point for large enterprises and their MDM vendors.This keynote will focus on analyzing related key market trends concerning MDM, RDM and MDG as well as upcoming new dimensions facing organizations during 2014-15 such as Big Data, Social, Mobile, Cloud and Real-Time. Based on research conducted with over 2,500 MDM programs during the past 18 months, this keynote will review strategic planning assumptions such as:• Determining what your organization should

focus on in 2014-15 to kick start Master Data Governance

• Planning to leverage Big Data & RDM as part of an enterprise MDM program

• Understanding where MDM, RDM & Master Data Governance are headed in the next 3-5 years

Field Reports for ‘Top 15’ MDM Solutions

Evaluating MDM and Data Governance 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 flux, 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, RDM and (even) Business Process Management (BPM) vendors. To cope during 2014-15, many large enterprises will increasingly mandate a unified approach to both data and process architecture/design/management tools. 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, EAI/EII, portals, SOA-based web services, data service provider, system-centric BPM, human-centric BPM, etc.

• Applying a rigorous methodology to product evaluations for both mega vendor solutions (IBM MDM, Informatica MDM, Microsoft MDS, Oracle MDM, SAP MDM/MDG/MDS, SAS MDM) and more pure play (Ataccama, Collibra, IBI MD Center, Kalido, Orchestra, Software AG, Stibo, Talend, Teradata, TIBCO, et al)

The Cost of Badly Governed DataAnwar Mirza, Financial Systems Director, TNT Express

Data Governance starts its life as a headache for management and always prompts the expected questions of how much investment is needed, what will the return be and how come we have managed without it for so long? This keynote gives

food for thought to both crusaders and management, challenging them to take a pragmatic approach to the program, investments, prioritisation and implementation. The speaker has assisted numerous global enterprises across diverse industries to provide insights into various program start-up aspects including tips and tricks on costs/benefits within the business

case. This keynote will inspire attendees to develop a positive tangible benefit to convince management to invest in the program. The topics covered will include:• Developing the best financial business case for the enterprise’s circumstances• Understanding the pros & cons of different approaches - e.g. CAPEX vs

OPEX, one large business case or several small ones• Getting the best from peer groups, institutes, consulting firms and software

companies• Phasing Data Governance program implementations according to the

available levels of investment

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The Business & Data - A Marriage Made in Heaven? Andy Moore, Process Specialist – Information Management & Andy Whitehurst, Head of Data Management Capability, Rolls-Royce

Using analogies of a Wedding Day:• We will hear from different participants involved in the marriage of

the business and its data• We will look at how data can be unloved and under-valued and how

the business can suffer as a consequence• We will look at our maturing approach to bringing the business

and data together in a sustained relationship through adoption of a toolkit which focusses on the value driven by data and, from that understanding of value, generates appropriate quality data being cared for by employees with clear roles and responsibilities for data

• We will describe the components of the toolkit, stories from the adoption of the approaches and the development roadmap

As the business vows to care for and cherish its data, in turn the data will take care of the business.

Setting Data Governance Expectations: Getting the Business to Speak Up Bob Seiner, KIK Consulting & TDAN.comWhen starting a Data Governance program, significant time, effort and bandwidth is typically spent selling the concept of data

governance and telling people in your organization what data governance will do for them. This may not be the best strategy to take. We should focus on making Data Governance THEIR idea not ours.Shouldn’t the strategy be that we get the business people from our organization to tell US why data governance is necessary and what data governance will do for them? If only we could get them to tell us these things? Maybe we can.Join Bob Seiner for this informative Keynote that will focus on getting THEM to tell US where data governance will add value. Bob will review techniques for acquiring this information and will share information of where this information will add specific value to your data governance program. Some of those places may surprise you.

Aaron Zornes The MDM Institute

Andy Whitehurst

Andy Moore

“An enjoyable and informative event providing excellent networking

opportunities and valuable insights into the trends and technologies in the MDM

and Data Governance markets.”Dave Bennett, Analyst, Morrisons

TUESDAY 20 MAY 2014 Conference Day 1 & Exhibits

09:00-09:10 MDM SUMMIT & DATA GOVERNANCE CONFERENCE OPENING: Aaron Zornes, The MDM Institute and Jan Henderyckx, Envizion

09:10-10:10 PLENARY KEYNOTE: The Cost of Badly Governed Data, Anwar Mirza, Financial Systems Director, TNT Express MDM OF CUSTOMER MDM OF PRODUCT &

REFERENCE DATADATA GOVERNANCE

TRACK 1DATA GOVERNANCE

TRACK 2DATA GOVERNANCE

TRACK 310:15-11:00 Applying MDM to Drive ERP

Success & ROI Sébastien Menus & Mylène Chabanas

Acolyance

Master Data Governance – A Fast Track Deployment Strategy & Methodology

Bradley Smith, Meggitt &Anuj Chaturvedi

Capgemini

Building & Growing the Data Governance Function

at a Bank Chris Bradley, Enterprise Architects

& Abdulhameed Al-AmerRiyad Bank

Data as an Asset: the Predictive Angle

Hasan Al-MadfaiBGL Group

Social Media Governance Phil Mennie & Sulav SahaPricewaterhouseCoopers

MDM KEYNOTE DATA GOVERNANCE KEYNOTE11:30-12:15 Master Data Governance to Unify MDM, RDM & Big Data

Aaron Zornes, The MDM Institute The Business & Data - A Marriage Made in Heaven?

Andy Whitehurst & Andy Moore, Rolls-Royce

12:20-13:05 Meeting the Solvency II Data Directory Challenge

(or How to Help an Industry Divided by a Common

Language) Colin Youngman & Nicola Askham

Aspen

“Information Blueprinting” as a Service

Susan Attwood, GlaxoSmithKline & Robert Whitaker

Cognizant

Data and Governance at the Dutch Tax Office Bas van Gils, BiZZdesign &

Hans SomersThe Dutch Tax Office

On the Crest of a Wave – Data Governance and

Designing Warships Ian Sinclair, IPL & Tony Wallis

BAE Systems Maritime

Panel Discussion - The Role of the CDO in an Organisation

Moderator: Philip Howard, Bloor Research

13:35-14:30 INDUSTRY INNOVATION SESSIONS14:35-15:20 Transforming Public

Services through the Power of MDM-Enabled Single View

John Jackson & Hilary Simpson, London Borough of Camden

& Tony Ellis IBM Software Group - UK

Field Reports for ‘Top 10’ RDM Solutions

Aaron ZornesThe MDM Institute

Changing the Tyres on a Moving Car - Data Strategy and Governance at HSBC

Chimene Painter HSBC

Transformation through Data Governance & MDM

Michelle Teufel Premier Farnell

Data Governance – Do’s and Don’ts for a Successful

Implementation Andreas Reichert

Business Engineering, Institute St. Gallen AG

15:25-16:15 PLENARY KEYNOTE 16:40-17:25 Experts Panel: Best

Practices in MDM of Reference Data

Moderator: Aaron ZornesThe MDM Institute

“Disruptive MDM”— Equipping the Agile

Enterprise with Demand-Driven PIM

Frans van Duivenboden, Mediq & Ivo-Paul Tummers, Jibes

The Evolution of Law in Data Governance and

Management Barry Connolly, Flynn O’Driscoll Business Lawyers & Sana Khan, Law Library / Griffith College

Dublin

Groupe Mutuel Insurance, a Success Story in Predictive

Governance Walid El-Abed, Global Data

Excellence & Yvan Zermatten Groupe Mutuel Assurance

Data Governance - The Personal Approach

Hanne Christensen Bankdata

17:25-18:45 Drink Reception and ExhibitsWEDNESDAY 21 MAY 2014 Conference Day 2 & Exhibits 09:00-09:50 PLENARY KEYNOTE

MDM KEYNOTE DATA GOVERNANCE KEYNOTE10:20-11:05 Field Reports for ‘Top 15’ MDM Solutions

Aaron Zornes, The MDM Institute Setting Data Governance Expectations: Getting the

Business to Speak Up Bob Seiner, KIK Consulting & TDAN.com

MDM OF CUSTOMER MDM OF PRODUCT & REFERENCE DATA

MASTER DATA GOVERNANCE, FUTURES

DATA GOVERNANCETRACK 1

DATA GOVERNANCE TRACK 2

11:10-11:55 Driving MDM from an IT Constraint to a Business

Desire Alain Dubost, MICHELIN

A Practical MDG Framework Implementation

with Linkage to Solution Portfolio Management Christoph Balduck, Volvo AB

Expert Panel: Best Practises in Master Data Governance

Moderator: Aaron Zornes The MDM Institute

The Tomorrow People, the Future of Data Governance

Sits Inside Your Organisation Garry Manser, Barclays Bank

Making the Business Case for Information Governance

Jan Henderyckx, Envizion

12:25-13:20 Applying MDM to Improve Business Operations & AnalyticsAndrew Thompson, ICON plc AND INDUSTRY INNOVATION SESSIONS

13:25-14:10 Expert Panel: Best Practices in MDM of Customer

Master Moderator: Aaron Zornes

The MDM Institute

Enterprise-Wide MDM: From Information Silos to Information Management

Excellence Sergei Schelchkov, Raiffeisen Bank & Alexey Ilyin, Ataccama Russia

Sustaining Data Governance in the Large

Enterprise Vanessa Eriksson

TeliaSonera

Tipping the Balance in Favour of Good Data

Governance Lisa Allen & Nick Keen Environment Agency

Data Governance at Belgacom

Peter Simoens Belgacom

14:15-15:00 “Data as a Service” - Establishing MDM Utilities

for Large Enterprises Barry Dockar, Deloitte

Aligning Master Data for 1+ Million Items Across Catalog, eCommerce &

Cultures Jonny Kohlström, Ahlsell

Field Reports for ‘Top 10’ MDG Solutions

Aaron Zornes The MDM Institute

Delivering Trusted Data - When it Grows by 90 Million

Records a Day Paul Fulton, Visa Europe

Panel Discussion - Data Stewardship

Moderator: Sue Geuens DAMA International & EPI USE

15:30-16:15 Implementing Master Data Governance in a Global

Organization Jan-Johan Balkema & Stephane

Engelebert, AkzoNobel Decorative Paints

Best Practices: Reference Master – A Model for Defining & Governing

Brad L. WilliamsCargill Incorporated

MDM in a Mature Business—Overcoming Business Complexity &

Budget Constraints James Carne, Elsevier B.V.& Nick Whitfeld, KPMG

How Data Governance is Helping Shell Achieve Top-Quartile Performance in Capital Projects Delivery

Julian Davis, Shell & Chris Saunders, IBM

A Risk Based Approach to Data Governance

Pieter Ettes Achmea

16:20-17:05 Creating a Partner Data Hub as Start into a Global

MDM Initiative Christian Holtz, Uniserv & TBA (co-presenter from a global publisher)

Case Study TBA Product & Supplier Master in the Large Enterprise

Santanu Dawn Goodyear Dunlop Europe

Data Governance: a Case Study of a Pragmatic

Implementation Jo Stulens & Stijn Vermeulen

Barry Callebaut

Banking on Data Governance Simon Barrows

Glue Reply

17:10-17:20 CONFERENCE CLOSE: Aaron Zornes, The MDM Institute and Jan Henderyckx, Envizion

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MONDAY 19 MAY 2014 Pre-Conference WorkshopsFULL DAY - 09:30 - 17:15 FULL DAY 09:30 - 17:15

MDM (CDI, PIM, RDM & MDG) Quick StartAaron Zornes, The MDM Institute

MDM - A Best Practice Guide to Design & ImplementationMike Ferguson, Intelligent Business Strategies

HALF DAY MORNING - 09:30 - 12:45

09:30-12:45 Data Quality 101: What Every Data Governance

Practitioner Needs To Know Jon EvansEquillian

Practical Data Governance: Getting Started,

Sue GeuensDAMA International & EPI USE

Reference Data Management Concepts &

Best Practices Erik O’Neill

IBM

Good (Data Governance) to Great (Data Governance)

Bob SeinerKIK Consulting & TDAN.com

A Proposal for Information Governance Working Model

and Roles Jan Henderyckx

EnvizionHALF DAY AFTERNOON - 14:00 - 17:15

14:00-17:15 Business unIntelligence - a New Architectural Hub

for Data Governance and Quality

Barry Devlin9sight Consulting

Discovering Information Architecture Chris Bradley

Enterprise Architects

Making Enterprise Data Quality a Reality

Nigel Turner & Kiran GillHarte Hanks Trillium Software

Messages for Management: Convincing Management to Institutionalise Data

Governance Bob Seiner

KIK Consulting & TDAN.com

What the Books Won’t Tell You: the Hidden Problems of Data Governance and How to

Survive Them Dirk Coutuer

ING Bank17:25-17:55 Lightning Talks given straight after each other - 5 minutes - 6 speakers/subjects

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Agenda

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PRE-CONFERENCE WORKSHOPS FULL DAY

09:30-17:15 FULL DAY MDM (CDI, PIM, RDM & MDG) Quick StartAaron Zornes, 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 firsthand 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

MDM - A Best Practice Guide to Design and Implementation Mike Ferguson, Intelligent Business Strategies

This workshop looks at 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 address design issues such as inbound integration of master data to consolidate master data when it is scattered across many different data sources, and the outbound synchronization of it to supply both operational and analytical systems. It also looks at master data virtualization 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 synchronization to achieve best practice in design and implementation. The session covers the following:• An introduction to data governance• Introducing a shared business vocabulary• Metadata management• Enterprise data quality and data integration• 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 consolidationo Data capture techniqueso The benefits of standardizing inbound data to

a an MDM systemo Should history be kept in a MDM system?o Approaches to cleansing, and matchingo Consolidation Vs virtualizing master data to

create an MDM system

• Best practices in designing outbound master data synchronizationo Integrating an MDM system with an enterprise

service bus for outbound synchronization of operational systems

o Schema and integrity synchronisation problems that can occur and what to do about them

o Conflict resolution on outbound synchronization

o Design considerations when integrating MDM with ETL tools for synchronizing data warehouses and data marts

• Maximising the use of data virtualization in MDM• The implications of switching to centralized

master data entry• The change management program imposed by

centralized master data entry

MORNING PRE-CONFERENCE WORKSHOPS

09:30-12:45 MORNING

Data Quality 101: What Every Data Governance Practitioner Needs To Know Jon Evans, Equillian

Effective Data Quality Management sits at the heart of every successful Data Governance programme. And yet, the topic of data quality is still misunderstood by many – a situation compounded by the use of unfamiliar jargon and too much emphasis on technology.

This half-day workshop will bring Data Quality Management into focus, dispel the myths and equip Data Governance practitioners with the essential understanding they require. With plenty of practical advice on how to avoid the common pitfalls, both beginners and those already familiar with the topic will learn how to use the benefits of Data Quality Management as the fuel to drive forward their Data Governance initiatives. The session will be structured around 4 key topics:

• The Truth About Data Quality• Monitoring Data Quality• Improving Data Quality• Using Data Quality to Drive Data Governance

Practical Data Governance: Getting Started Sue Geuens, DAMA International, EPI USE

Data Governance Programs often seem to start with failure as a foregone conclusion. Horror stories from other organisations and data professionals permeate the industry

Having been a big part of the implementation and maintenance of a successful DG program at a large Southern African Telco, Sue will focus on the practicalities, how to turn the theory into practice and how to make it stick. Having a number of years experience in practical Data Governance, the next logical step is for Sue to take various themes and issues raised during her work and get the group working on the practical pieces that are needed to start your Data Governance Journey. If you are a beginner in DG and are looking for a framework or some practical hand-holding this is the ideal workshop. If you are already working on DG but feel like you are wallowing, then this workshop will help you focus on what you need to do next. You will walk away with a much better understanding of what you are going to be doing, together with various documents that you have helped craft in this workshop. Each part of the agenda has one or more exercise sessions.• Starting Up• Identifying Stuff To Do• The Fun Part• What went wrong and how did we fix it – the

practical know-how of implementing DG

Reference Data Management Concepts & Best Practices Erik O’Neill, MDM Product Management, IBM

Reference Data Management (RDM) is a relatively new offspring of MDM functionality to provide the processes and technologies for recognising, harmonising and sharing coded, relatively static data sets for “reference” by multiple constituencies (people, systems, and other data). Such a system provides governance, process, security, audit control around reference data mastering. The RDM system also manages complex mappings between different reference data representations across the enterprise. Clearly, RDM can be expected to become a “ramp up” point of entry for many organizations planning for Customer, Product master and other domains. Moreover, RDM is a major IT initiative being undertaken by a large number of market-leading global 5000 enterprises. Both as an IT discipline and a commercial off-the-shelf software solution, RDM solutions are being brought to market at an increasing pace. This session provides a full spectrum tutorial on RDM concepts for the MDM and Data Governance professional by discussing:

• Building the business case for enterprise Reference Data Management

• Implementing common patterns for Reference Data Management

• Adopting an MDM approach to managing reference data

Visit irmuk.co.uk for programme updates and to register

Pre-Conference Workshops - Monday 19 May 2014ir

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5Visit irmuk.co.uk for programme updates and to register

Pre-Conference Workshops - Monday 19 May 2014

Good (Data Governance) to Great (Data Governance): Why Some Companies Make the Leap and Others Don’t Bob Seiner, KIK Consulting & TDAN.com

More than a dozen years ago Jim Collins authored the book Good to Great (Harper Business, 2001), the first business book that stretched far beyond the traditional business book audience and market. In this half-day working session with Bob Seiner, he will borrow from the main points of this book to focus on the activities organizations should consider to extend their good data governance programs to become great data governance programs.Bob will demonstrate factors that have led to “glass ceilings” and highlight those factors that world-class organizations have built governance into everyday activities. Attendees should expect to become part of the discussion while working toward a sensible list of these factors to be taken back to their organizations and applied accordingly.In this session Bob will lead active discussion regarding these items and more:• How Good Becomes the Enemy of Great• Not Letting Perfection Get in the Way of Good

Enough• Addressing Who First, Then What• Confronting Brutal Facts• Developing a Culture of Formal Discipline

A Proposal for Information Governance Working Model and Roles Jan Henderyckx, Envizion

One of the main information governance challenges is trying to properly position it within an organisation and more importantly define the interaction with other disciplines that are already established in an organisation. Unlike the “uomo universalis” who looked at the world in a holistic way, we are faced with each information related discipline trying to solve the puzzle in their own unique way. Most of these approaches make sense, but stop short answering the real question how all of this fits together. There are many working models for information governance defined but we have no industry consensus on terms such as data steward or owner. During this session Jan will propose a working model that is able to cover the core information governance activities and that allows you to establish information governance in your own organisation.• Fundamental tasks and roles in information

governance• How do we position information governance,

data management, BI, quality, enterprise architecture, risk and data science?

• Comparing COBIT 5, Mike 2.0 TOGAF and DMBOK

• Applying the roles to your organisation• Enabling the change• Transforming from program to recurrent mode• Linking the governance roles to other disciplines• Defining the objectives and formal deliverables

allowing you to interact with the other organisational components.

14:00-17:15 AFTERNOON

Business unIntelligence - a New Architectural Hub for Data Governance and Quality Barry Devlin, 9sight Consulting

The rapid growth of the Internet of Things, as well as now commonplace big data, creates new challenges for business and IT in ensuring information quality

within expanded governance needs. Although governance is certainly process-oriented and organisational in nature, the underlying information architecture plays a vital role in enabling its application. Today’s information has significantly different characteristics to traditional data types, ranging from syntax and semantics, through sourcing and preparation, to reliance and usage. This demands a highly adaptive architecture integrating all aspects of information, process and people. I call this approach “Business unIntelligence” because at its core is the thinking that drove data warehousing, but its decision making and information usage extends far beyond typical BI. This workshop:• Introduces the conceptual, IDEAL architecture

redefining information, process and people• Explores three characteristics of information

that scope modern governance needs• Positions information and the processes

managing it• Offers a roadmap from today’s BI to a broader

infrastructure that enables governance

Discovering Information Architecture Chris Bradley, Enterprise Architects

What are the disciplines of information Architecture? It’s more than just data models & is essential for the future health and security of the information asset.We will show how a well architected approach to information is linked to business motivations & objectives and how to prioritise the areas of investment in Information management.Attendees to this workshop will learn:• What are the disciplines of information

architecture• The major considerations of Data Quality,

Information Security & Master Data Management• The critical role of conceptual Data Modelling• Why Data governance is at the heart• How to link information management initiatives

to a business motivation model• How to prioritise areas for MDM initiatives

Making Enterprise Data Quality a Reality Nigel Turner & Kiran Gill, Harte Hanks Trillium Software

Most 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 enterprise so the only way to tackle 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 methods from that needed on many traditional DQ projects.

By attending this workshop you will leave more ready and able to make the case for and deliver enterprise wide data governance 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 & Kiran Gill of Trillium Software, the workshop will draw on their extensive personal experience of initiating & implementing successful

enterprise DQ and data governance in major organisations, including British Telecommunications and the UK National Health Service. The approaches outlined in this session really do work. Finally, it’s also important to stress that this is not a software vendor pitch, but a technology neutral best practice session. 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 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

Messages for Management: Convincing Management to Institutionalise Data Governance Bob Seiner, KIK Consulting & TDAN.com

Data Governance practitioners spend a significant amount of their time spreading the word about their beloved discipline, selling the value, and convincing management that data governance has to be part of the business information system landscape leading to analytical prowess. Without a doubt, these messages are very important. The method for delivering these messages has a major impact on how well the messages are accepted and whether or not a solution is established.In this half day workshop, Bob Seiner will provide techniques for focusing and delivering the Messages for Management to improve the likelihood that they will support the establishment or enhancement of a data governance function in your organization.In this workshop, Bob will address:• Five Core Messages for Management About

Data Governance• Four Additional Messages That Could Make or

Break Your Program• Ways to Get the Business to Speak Up About

Data Governance• Effective Ways for Delivering the Messages• Delivering a Top to Bottom Communications

Plan

What the Books Won’t Tell You: the Hidden Problems of Data Governance and How to Survive Them Dirk Coutuer, ING

How is it possible that so many DG projects fail, even when they are done, “according to the book”? Why are there so many misunderstandings concerning Data Governance on the Business and on the IT-side?For starters and those who are already further on the road, the following questions are raised:• What are the Do’s and Don’ts?• Where are the typical catches and how to avoid

them?• What is your ideal survival kit?• What are the slides that can convince top

management?Based on many real life experiences and failures, a handful of best practices will be given as a life-jacket to succeed in your DG initiative. This workshop was delivered at the Data Governance Conference Europe 2013, and received a very positive response. The 2014 version has a largely updated content.

MDM of Customer

Case Study: Meeting the Solvency II Data Directory Challenge (or How to Help an Industry Divided by a Common Language)Colin Youngman, Enterprise Data Architect & Nicola Askham, Interim Data Quality Manager, Aspen

Aspen Insurance Holdings Limited (“Aspen”) is a leading global insurance and reinsurance company whose success is built on financial strength, the insight of its people and a customer-first philosophy. Founded in 2002, Aspen has been listed on the New York Stock Exchange since 2003 (AHL) and as at 31 December 2012, it had assets of $10.3 billion and more than 830 employees in eight countries. The Solvency II Directive, while primarily about the capital adequacy of insurance and reinsurance companies across Europe, has a number of Data Governance requirements. One of these is for companies to have a Data Directory specifying the source, characteristics and usage of data used in their Solvency II calculations. But there has been much debate across the industry on how to implement something that meets the regulators’ requirements but is also accessible, maintainable and adds value to the business. Join this session to hear about Aspen’s journey to develop their Data Directory via implementation of the Collibra solution and how they plan to extend its usage within their wider Data Governance activities :• What a Solvency II Data Directory is• Managing the evaluation process for

Data Governance software to support a Data Directory

• Applying a business semantics-driven glossary to help disparate teams communicate better

Case Study: Driving MDM from an IT Constraint to a Business DesireAlain Dubost, Head of Master Data Management, Michelin

Michelin is the world’s leader in high performance tyres for cars, trucks, earth movers, airplanes, and more. As a world-wide organization, with over 115,000 employees and operations in over 170 countries, Michelin takes a global approach to products with their ‘design anywhere, manufacture anywhere’ concept. This approach is supported by Michelin’s comprehensive business-driven MDM program that encompasses everything from metadata definitions to master data. Increasingly MDM is a key foundation, especially in today’s IT world where cloud, mobile, social and big data literally flood the Enterprise… but how many companies have successfully implemented an MDM Program? Learn how Michelin, a world-leader in tyre manufacturing, has succeeded in bringing business value, using a comprehensive approach to MDM, driven by business strategy and implementing business governance and organisational roles. Clearly, IT tools are necessary to support the approach, but must not be the driver. This presentation will outline advice for those building an enterprise-wide MDM

function by discussing such vital topics as:• Leveraging techniques for encouraging MDM

adoption by communicating that an MDM program can only succeed if it is driven by – not simply involves! – the business

• Building upon the premise that an MDM program can start without a business case, but will rapidly need to demonstrate business value

• Reinforcing the fact that Data Quality is fully part of an MDM strategy

Case Study: Implementing Master Data Governance in a Global OrganizationJan-Johan Balkema, Global Master Data Manager & Stephane Engelebert, Lead MDG Architect, AkzoNobel Decorative Paints

AkzoNobel Decorative Paints is one of three AkzoNobel Business Areas with a 5 billion Euro turnover in DIY paint, producing and selling brands like Dulux, Sikkens and Flexa. After finalizing a global SAP roll out last year, the company realized it needed to take the next step in order to truly reap the benefits from the implementation of a harmonized application landscape and business process environment. Until now, all local organizations were allowed to create their own data without any central control or process alignment and there was also no control on what data was actually being entered or how it was used. Investigations documented that up to 20% of the master data is either duplicate or obsolete and together with the usage of inefficient and suboptimal maintenance processes and tooling it was clear that master data was an issue. This in turn negatively impacts the execution of key business processes and the ability of the leadership to properly react on the basis of management information.

In 2012, SAP MDG was selected as a data maintenance tool and in August 2013 a global master data manager was appointed. Vendor maintenance master was initially deployed via such harmonized processes alongside a global MDM organization and data quality governance structure. Additional data domains currently targeted for governance via MDG include: Raw Materials, Finished Goods and Customer. On top of all that, Deco is not running a standalone project. The other business areas (BAs) have also started up their MDM programs (with Data Governance as basis), as well as AkzoNobel corporate. Besides improving data quality at the BA level, AkzoNobel is also keen on harmonizing data at corporate level, allowing for cross BA level reporting. Key in this harmonization program is the linkage of the various BA MDG instances to the corporate MDG at the data entry point at the BA.

Key topics discussed during this session will include:• Provisioning the project set up - requirements,

staffing, organizational structures, etc.• Applying a generic MDM approach to drive

sustainable data quality• Architecting for both MDG standalone (in

connection with SAP ECC & Microsoft Dynamics) as well as a multi-MDG instance environment

Experts Panel: Best Practices in MDM of Reference DataModerator: Aaron Zornes, Chief Research Officer, The MDM Institute Panellists: Xavier Beslay, Information System Manager, Timac Agro International

2013 was the year that commercial reference data management (RDM) offerings began to have major impact in the mainstream MDM market. 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. Mismatches in reference data can have a major impact on data quality, can affect the integrity of BI reports, and is a common source of application integration failure. Home-grown RDM systems suffered for a number of reasons, and just as businesses no longer build their own custom CRM, ERP and MDM systems, so too are organizations acquiring commercial RDM solutions which can be easily tailored or configured and which have the full ongoing support of a software vendor. Moreover, RDM use cases are increasingly being approached by enterprises as entry points into the broader world of MDM. This panel will focus on the answers to such issues to help understand the relationship and dependencies between RDM and MDM by discussing topics such as:• Identifying “which” master data is best managed

by an RDM platform (when is something Reference Data vs. when it is MDM?)

• Determining the pros & cons of having separate RDM efforts from main MDM programs

• Understanding the role of semantics in reference data management (modeling, etc.)

Experts Panel: Best Practices in MDM of Customer MasterModerator: 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. While historically, many organizations 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, reference data management, 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-- 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

Case Study: “Data as a Service” - Establishing MDM Utilities for Large EnterprisesBarry Dockar, Manager, Deloitte

Competition, cost and regulatory pressures are forcing global banks towards shared service support functions. There can be great benefits from taking this approach for master data, but the implications are much wider than technology alone. This session will present insights and best practices obtained during such MDM efforts at a number of Deloitte client engagements as well as a case study from

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a global financial services provider. Topics to be discussed include:

• Developing an “Operating Model” approach to MDM to overcome lack of maturity in managing data as an enterprise asset

• Delivering “Data as a Service” via a contractual framework for providing master data as a business service to diverse consumer groups inside and outside the organisation

• Leveraging the diverse solutions for different master data domains to build on common requirements & establish organisational accountability – e.g., clients vs. instruments vs. others

Case Study: Transforming Public Services through the Power of MDM-Enabled Single ViewJohn Jackson, CIO, Hilary Simpson, MDM Implementation Leader, London Borough of Camden & Tony Ellis, Information Management Specialist, IBM Software Group - UK

MDM technology is helping to break down internal silos, get organisations closer to customers, and drive savings and efficiencies. 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. The Council’s MDM-enabled Digital Strategy is focused on: enabling strategic leadership, tackling inequality, building cohesive communities, harnessing economic growth, and delivering right first time services. Moreover, with the UK public sector entering a further period of major budget reductions, Camden have led the way in exploiting the power and potential of the data they hold. In this session, you will hear how the council took only three months to build its Camden Residents Index using data sourced from 16 back office systems. Using an MDM solution, the council accurately matched the records of its population to provision a trusted Golden View of the citizen and their household. From a Data Governance perspective you will hear how the council addressed data privacy, engaged with its front line services and, critically, identified where MDM would enable them to make major financial savings, improve service provision, reduce risk and empower staff. Attendees of this session will learn how to implement a successful MDM project against a background of tight deadlines and major resource constraints via discussion of best practices such as: • Embedding MDM right into the enterprise’s

Digital Strategy to support Single View operational front-line capabilities across former silos of information

• Shaping future service provision & the targeting of scarce resources through the use of advanced analytics

• Planning for the next MDM phase— multi agency working, shared services & extending single view across unstructured data

Case Study: Creating a Partner Data Hub as Start Into a Global MDM InitiativeChristian Holtz, Director - Professional Services, Uniserv T.B.A. (co-presenter from a global publisher)

A leading global publisher is moving rapidly into the digital realm. One important step is to provide seamless user experience for all business partners across the different channels and roles in which they work with the publishing company – a unique global Partner ID for each business partner. To leverage the potential of available business partner information and reduce dependency on external marketing/finance data, the publishing company started a project to create a central partner data hub to combine all available partner information into a golden record. This enables them to use partner information that was previously not available to business functions such as marketing, for example. As part of this, information from several systems -- e.g. SAP CRM, the online platform and the Content Management system -- were all combined into a Customer Data Hub. The hub cleans and validates the information and merges them into a golden record which provides the richest set of identifying information for use with business partners. The chosen approach enables a phased introduction of the customer data hub. In this session, attendees will learn about the benefits this Global MDM approach brings to the organization in term of marketing and sales value by discussing topics such as:• Combining partner information via matching

across different sparse sources• Leveraging the customer data hub for migration

scenarios when new companies need to be integrated

• Managing the relationships (& hierarchies) across organizations, persons & their relations

Case Study: Applying MDM to Drive ERP Success & ROISébastien Menus, MDM Project Manager & Mylène Chabanas, ERP Program Coordinator, Acolyance

Acolyance (€522M+revenues) is a leading French agriculture and wine cooperative serving a network of 3,500 agriculture members and 7,000 wine producers. Management is very focused on innovation and is preparing a large-scale transformation for 2014 wherein ERP will be deployed to support most of business processes (finance, accounting, harvest, retailing, procurement, sales, …). Unlike traditional viewpoints with ERP systems as the solution to manage all master data within their perimeter because they were intended to be *the* company core system, Acolyance has decided to make its master data program a prerequisite of its ERP implementation. By having an MDM approach synchronized with the ERP strategy, Acolyance is convinced that ERP will be able to concentrate on its core business processes and to deliver quicker and better. Additionally, MDM enlarges the ERP scope by facilitating collaboration with trading partners. In this session, topics to be discussed include:• Applying MDM as a key approach to secure ERP

implementation projects• Leveraging MDM to fill in functional weaknesses

of ERP systems• Using MDM to facilitate the update cycle of

master data that cannot be updated directly in production systems without ERP customization

MDM of Product & Reference Data

Field Reports for ‘Top 10’ RDM SolutionsAaron Zornes, Chief Research Officer, The MDM Institute

Reference Data Management (RDM) is a relatively new offspring of MDM functionality to provide the processes and technologies for recognizing, harmonizing and sharing coded, relatively static data sets for reference by multiple constituencies (people, systems and other data). Clearly, managing “simple” reference data will prove to be a key sales entry point for MDM vendors in turn will unduly influence choice of MDM for Customer, Product and other domains. Just as important is the trend with large enterprises beginning to mandate that REFERENCE data be part of an MDM platform’s native entity types. During 2013, certain MDM mega vendors began to market discrete RDM solutions to apply an MDM approach for centralized governance, stewardship and control. Concurrently, pervasive, lower entry cost RDM was marketed successfully via the efforts of Ataccama, Kalido, Orchestra Networks, and Software AG. • Rationalizing the trade-offs between multi-

domain RDM solutions & do-it-yourself RDM• Determining whether RDM might serve as

a suitable proof-of-concept for the utility, performance & ease-of-use evaluation for a general purpose MDM solution (CDI, PIM, multi-domain)

• Understanding the business value & evaluation criteria for standalone RDM solutions versus MDM-enabled RDM

Case Study “Information Blueprinting” as a Service Susan Attwood, Information Architect, GlaxoSmithKline & Robert Whitaker, Lead Information Architect & MDM Consultant, Cognizant Technology Solutions

The past 3+ decades have seen organisations move from mainframes to distributed mid-range computers; from bespoke governed systems development to locally developed systems to commercial off the shelf (COTS) products. These events have coincided with or created a gradual decline in common vocabularies between business units and in the consistency of data usage across them. Organisation mergers and acquisitions and the urgency to progress these have left organisations in a position where their information landscape is not widely understood and where business units prefer to re-create data rather than re-use what another group has provided. GlaxoSmithKline are using Information Blueprinting, delivered using a service model, to document and govern the data landscape, including master data and to drive understanding, standardisation and data integration. Attendees of this session will learn about:

• Understanding the components of an Information Blueprint & scenarios in which it is most useful

• Applying an Information Blueprint to drive IT, business and ultimately master data strategies

• The Pro’s & Con’s of different Information Blueprinting delivery models

Group Booking Discounts:

2-3 delegates 10%,

4-5 delegates 20%,

6+ delegates 25%

Case Study: Product & Supplier Master in the Large EnterpriseSantanu Dawn, Master Data Leader EMEA, Goodyear Dunlop Europe

Product and supplier master data is vital to the success of any global enterprise that maintains extensive manufacturing operations throughout the world. Typically, such enterprise’s IT organisation have undertaken a tailored master data governance program of key business elements based on organizational culture, priorities, business process standardization and maturity. MDM is a multi-year journey and there is no one ‘right’ place to start. Also MDM cannot be a ‘bottom up’ initiative; a strong leadership endorsement, guidance, and participation required for it to succeed. A strong master data governance program is primarily based on the pillars of Principles, Elements, and Rules, Tools & Templates - each of which needs to be customized according to the organisation’s strategy and can be built only with deep understanding of core business processes and capabilities. While there is no single path to MDM excellence, clearly an understanding of the organizational culture and IT strategy is important before one defines them. This session will focus on best practises for master data in the large enterprise by discussing topics such as:

• Identifying the framework “principles” within which to prioritize & build governance around— e.g., data policies, accountability, scalability & agility

• Understanding the “elements” that represent the identity & environments built around it— e.g., data organization, lifecycle, validity, accuracy & reporting

• Determining the “Rules, Tools & Templates” as procedural details of master data governance & the vehicle to achieve it

Case Study: Enterprise-Wide MDM: From Information Silos to Information Management Excellence Sergei Schelchkov, VP & Chief Architect, Raiffeisen Bank & Alexey Ilyin, Director, Ataccama Delivery Center Russia

Starting in 1989, Raiffeisen Bank focused intensely on central and eastern Europe to expand beyond its Austrian base. Along with founding numerous banks to build up its network, the bank also complemented this with acquisitions starting from 2000. As a result, the bank operates one of the largest banking networks in Central and Eastern Europe. Modern, fast growth financial services enterprises are wholly dependent on information. But what if the quality of information or underlying data is poor? For example, there were certain initial problems with master data and data quality after Raiffeisen Bank acquired Impex Bank. This presentation talks about the project at Raiffeisen Bank Russia and will outline the project challenges and lessons learned by discussing: • Identifying the business drivers to engage

in an enterprise-wide Data Quality & MDM initiative

• Preparing to adopt MDM best practises - project pre-study & analysis, hosting platform selection process, MDM & related software selection criteria, etc.

• Developing & managing an iterative implementation roadmap to provide extra value to the business every 4-6 months

Case Study: Aligning Master Data for 1+ Million Items Across Catalog, eCommerce & CulturesJonny Kohlström, Business Process & Business Development Manager, Ahlsell

Founded in 1909, Ahlsell is the leading Scandinavian distributor of products and services within heating, plumbing, electrical, tools and machinery, refrigeration and Do It Yourself (DIY). As the strategic information relevant to its expanding range of products, as well as the number of marketing channels continues to increase, Ahlsell realized the need to streamline its purchasing and marketing processes by investing in MDM. Prior to this strategic initiative, a cadre of 100+ product managers each with specific, but unshared, knowledge struggled with an unstructured register of 1.2 million items.

To be able to manage an efficient process for Ahlsell and their associates, another issue was calling out for attention: a common synchronized model to communicate product data was needed. This is especially important when acquiring new companies, but also to keep product information synchronized between countries, suppliers and Ahlsell. Moreover, STEP, the MDM system from Stibo, improved Ahlsell’s time to market by introducing monitored workflows on all critical processes. This session highlights the benefits of applying MDM to product and supplier information by discussing topics such as. • Automating data capture from supplier & trade

associations while eliminating duplication of efforts via MDM-enabled web portals & branch-specific taxonomies

• Streamlining each step in marketing & product processes across the entire organisation group by provisioning trusted master data

• Enabling customers to accelerate searches for the right products in Ahlsell’s internet shop & all other marketing channels by improving product data quality

Case Study: “Disruptive MDM”— Equipping the Agile Enterprise with Demand-Driven PIM Frans van Duivenboden, CIO, Mediq & Ivo-Paul Tummers, Jibes

Mediq’s 8,300 employees comprise an international company providing pharmaceuticals, medical devices and related healthcare services across the majority of the European Union. As a holding company of various subsidiaries, Mediq operates as a wholesaler for pharmacies, doctors and hospitals. In the healthcare industry, the traditional “value chain” is changing rapidly and new business models are increasingly mandated as social, technological, and business trends are closely interlinked to provide a new equilibrium. Moreover, the increasing dominance of the customer is vital and creating tension between supply- vs. demand-driven partners. Having insight into behavior and motives of end consumer and other players in the chain will determine market momentum and profitability. Other key trends include transparency,

openness and cooperation of virtual and mobile social networks as consumers request control over their data and how it is presented. This session will illustrate how a global enterprise is meeting the challenges of omni-channel marketing and sales via next-generation Product Information Management (PIM) by discussing these topics and more:• Equipping the enterprise with better information,

tuned on demand & momentum, to be more successful-- even ‘disruptive’

• Creating maximum product/service flexibility & visibility via Product Hierarchy & Data Hub

• Delivering a true information landscape via MDM-based solutions connected to both metadata & data analytics

Master Data Governance – A Fast Track Deployment Strategy & Methodology Bradley Smith, Group Master Data Services Manager, Meggitt & Anuj Chaturvedi, Project Manager, Capgemini

Following a successful SAP ERP implementation, Meggitt PLC the FTSE 100 global engineering group, specialising in extreme environment components and sub-systems for aerospace, defence and energy markets, wanted to build its data management maturity across forty disparate business units by installing an SAP MDG hub for Customer, Vendor, Material and Finance master data-- within seven months. The goal was to improve, protect and govern data quality and also facilitate ongoing SAP ERP data migrations. An additional business objective was to enable decision-making based on trusted business data.• Selecting a rapid deployment methodology to

enable a global rollout across four data domains, starting with Customer, & six business functions

• Justifying the focus on business workflows & less on the technical sophistication of the solution

• Rationalizing & championing a parallel investment by the Business into the various crucial Data Governance components

Best Practices: Reference Master – A Model for Defining & Governing Brad L. Williams, Data Management Lead, Data & Business Intelligence, Global IT, Cargill Incorporated

Cargill is the US’s largest private corporation (US$134B annual revenues) whose diverse operations include: grain, cotton, sugar, and petroleum trading; financial trading; food processing; futures brokering; and agricultural services-including animal feed and fertilizer production. Cargill is in the midst of a multi-year global process, technology and data business transformation program called “Tartan”. One aspect of this is a dedicated focus on all aspects of master data – classification, standards, definitions, creation, maintenance, quality and governance. To achieve this, Cargill created a model and governance which classifies master data into three major categories: Reference, Core and Conditional. The approach for Reference Master Data differentiates between that which is Configuration vs. Non-Configuration. The goal is to ensure systemic rigor for the master data lifecycle to be leveraged across all systems within the corporate landscape and enable information to be turned into a competitive advantage while supporting data consistency, low maintenance costs, and one version of the truth for all levels of users. Topics to be presented during this session include:

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• Defining Reference Master Data using a Master Data Object Inventory

• Establishing a governance model which meets both enterprise and business unit needs

• Rationalising standards and monitoring in place for Reference Master Data affairs

Master Data Governance, Futures

Experts Panel: Best Practices in Master Data Governance Moderator: Aaron Zornes, Chief Research Officer, The MDM Institute

Data Governance is vital to the success of MDM projects – both initially and ongoing. During 2014-15, enterprises will increasingly mandate that “no MDM program be funded without the pre-requisite Data Governance framework.” Moreover, “proactive Data Governance” that includes the entire master data lifecycle will increasingly be mandated as a core deliverable of most large-scale MDM projects. Given the substantial investment required for MDM programs, the co-dependence/synergy of MDM and Data Governance must be given close scrutiny – not only to contain costs, but also to insure success. Beyond committees, councils and stewards, what is the real work to be done, who should do it and what is the impact if not done properly? This panel will focus on the answers to such questions to help understand the relationship and dependencies between MDM and Data Governance by discussing:• Communicating to executive management why

Data Governance is essential as phase zero deliverable and determining initial ROI of such investments

• Determining criteria for evaluating the currently marketed Data Governance capabilities of mega vendors, specialist vendors and systems integrators/consultancies

• Establishing metrics for measuring the success of an ongoing Data Governance program

Case Study: Sustaining Data Governance in the Large EnterpriseVanessa Eriksson, Head of Data Governance, EIM, TeliaSonera

TeliaSonera is the dominant telephone company and mobile network operator in Sweden and Finland, as a result of the 2002 merger between the Swedish and Finnish telecommunications companies Telia and Sonera. It is now the largest Nordic and Baltic fixed-voice, broadband, and mobile operator by revenue and customer base. It also operates Europe’s largest and fastest-growing wholesale IP backbone and is the 10th largest global mobile group by consolidated customers (including ownership stakes in Turkcell, Yoigo, Megafon, NetCom, and others). Managing such growth requires an agile IT infrastructure – as well as the latest best practices in master data and data governance. Like most large diversified telecommunications services providers, TeliaSonera is also challenged to provide next-generation digital lifestyle products and services, while increasing levels of customer service to both grow market share and maintain competitive positions. MDM and Data Governance are understood to be vital to the ongoing growth and success of the TeliaSonera enterprise. Organizations setting out to treat Information as the asset it is, face the challenging task of getting top management support,

executive buy-in to data ownership and allocation of data stewards to the Data Governance initiative. Starting small, keeping it simple while delivering business value is vital. But as maturity levels rise and the Data Governance movement widens, keeping the momentum becomes crucial as well as securing that Data Governance once implemented, is not forgotten. This presentation will share with you TeliaSonera’s Data Governance journey, their best practices and implementation approach to help the organization deliver and sustain the new way of working.• Establishing a Data Governance function for

continuous governance process engagement with key stakeholders

• Determining the necessary amount of organizational structures to provide momentum with minimum overhead

• Getting Data Governance to the next level - Knowing what works, understanding the challenges and the effort needed to make the move

Case Study: MDM in a Mature Business—Overcoming Business Complexity & Budget ConstraintsJames Carne, Head of Global Product Data, Elsevier B.V. & Nick Whitfeld, Director - Business Intelligence, KPMG

Elsevier is an academic publishing company which publishes medical and scientific literature as part of the Reed Elsevier group. Based in Amsterdam and London, the company employs more than 7,000 people in over 70 offices across 24 countries with operations in the UK, USA, Brazil and elsewhere. Elsevier publishes 250,000+ articles a year in over 2,000 journals; its archives contain seven million publications and annual downloads amount to 240 million. It also publishes thousands of books, databases and other electronic products. Established in 1880, the company has had 70+ years of growth by acquisition resulting in multiple business units and divisions with diverse product types. Elsevier is completing its move from paper to electronic and for the past ten years has been engaged in several MDM initiatives (LexisNexis in 2010, CUSTOMER domain in 2012, and PRODUCT domain in 2013). Among the challenges faced was an endemic silo-isation across a hugely complex organisation yet market pressure to rush into the Digital Age. The common scenario faced by the MDM teams included starting as a technology-driven initiative initially, then stopping through lack of progress, and then restarting as Data Governance program. This session will offer some proven best practices learned across the most recent of the three MDM initiatives by sharing insights such as:• Starting small to convince the business it has an

endemic data problem that needs to be fixed while raising the organisation profile-- constantly finding small areas where there is MDM issue and getting involved to resolve them

• Balancing between technology innovation, business use cases & foundational Data Governance processes – i.e., a database is not MDM, DQ is key and DQ requires governance

• Leveraging external expertise to drive maturity and readiness assessments, data models, & mapping of data flows through major business systems

Case Study: A Practical MDG Framework Implementation with Linkage to Solution Portfolio ManagementChristoph Balduck, Head Information Architect & EA, Volvo AB - Corporate Process & IT

The Volvo Group is one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The Group also provides complete solutions for financing and service. All in all, the Volvo Group’s products and services act as the “circulatory system of society”. Its trucks, buses, engines and construction equipment are key to a functioning everyday life for most of us. The Volvo Group employs about 115,000 people, has production facilities in 18 countries and sells its products in more than 190 markets. As the Volvo Group consists of multiple truck divisions, business areas and brands, covering diverse products and services, it is vital to manage and govern key data assets. Therefore, in 2012, the Volvo Group set up a group-wide Master Data Governance (MDG) framework and continues to roll out that program during 2014. Volvo has been running MDM/MDG programs since 2007 and now increasingly takes a broader view on information, connecting it to processes and applications. While solution portfolio management enables Volvo to take control of its solution portfolio, it is important to know what master data is handled in which applications and how. That’s why Volvo started to look into linking its solution portfolio with master data. This presentation’s topics include:• Understanding the classical MDG challenges &

how to overcome or prevent them• Instantiating a “theoretical” MDG framework

into the daily lives of business people• Harvesting the benefits of linking master data to

Solution Portfolio Management

Best Practices: Field Reports for ‘Top 10’ MDG SolutionsAaron Zornes, Chief Research Officer, The MDM Institute

Data Governance for MDM is moving beyond simple stewardship to convergence of task management, workflow, policy management and enforcement. And to make it even more “career challenging”, the evaluation of Master Data Governance (MDG) solutions is critical to the success of most large scale enterprise MDM programmes. Through 2014-15, most enterprises will struggle with MDG while they initially focus on customer, vendor, or product. Moreover, integrated and active MDG that includes end-to-end data lifecycle support will increasingly be mandated as a phase 1 MDM programme deliverable. This session will provide an overview of the top 10 evaluation criteria used by many organisations to evaluate such MDG capabilities— whether standalone or integrated with an MDM platform.

By 2014-15, vendor MDM solutions will finally move from “passive-aggressive” mode to “proactive” Data Governance mode.. This session will focus on the “why” and “how” of MDM platform technical evaluations by providing insight into: • Understanding the pros & cons of passive, active

& integrated MDG capabilities• Assessing the vendor landscape – e.g., mega

MDM vendor offerings (IBM MDPM; Informatica IID, Oracle DG Framework, SAP MDG. SAS Data Governance) vs. best-of-breed offerings

(Ataccama, Collibra DG Central, Kalido DG Director, Winshuttle, etc.)

• Applying a rigorous methodology to product evaluations by applying the MDM Institute’s top 10 evaluation criteria for MDG solutions

Data Governance Case Studies

Building & Growing the Data Governance Function at a BankChris Bradley, Enterprise Architects & Abdulhameed Al-Amer, Riyad Bank

This case study shows how a Bank made the case for Data Governance and the steps that were undertaken to introduce key Information Management capabilities into the organisation including Data Quality Management and Master Data Management.

Attendees to this presentation will learn:• Why a Data Governance programme was

considered essential• How the current state regarding Data

Governance was assessed and the key lessons learned

• The gradual steps undertaken to incrementally move towards the target state

• How the organisation structures to support Data Governance gradually evolved through many stages and why

• The key competencies & processes that were introduced to support the DG programme

• How the progress of the Data Governance programme was measured

• The key lessons learned.

Data and Governance at the Dutch Tax Office Bas van Gils, BiZZdesign & Hans Somers, Program Manager, The Dutch Tax Office

Data issues come in many forms and flavours: from BI reports with unreliable data to uncertainty around ownership and policies. Over the last few years we have faced several of these challenges and have observed a slow shift in focus to process and data: systems are temporary, data is forever. As a result, we have also seen the rise of a data office and more attention to data governance across the board. In this presentation we will show how we tackled these issues with holistic, business-focussed approach.

Topics include:• Shifting the focus from systems to

processes and data• Building data governance into projects• Incremental delivery of business results

On the Crest of a Wave – Data Governance and Designing Warships Ian Sinclair, IPL & Tony Wallis, Data Quality and Governance Manager, BAE Systems Maritime

A year ago representatives from a fledgling BAE Systems Maritime - Naval Ships change programme attended this conference as they knew that they needed to do something about implementing Data Governance – but didn’t know where to start. Twelve months on and they’ve returned to tell the story of what they have

achieved and the lessons they have learned along the way.

Naval Ships were challenged to improve their data management in order to drive out as much unnecessary cost as possible from their ship building programme, anticipating savings of tens of millions of pounds. The challenge was that the true value of data wasn’t appreciated across the workforce which could lead to costly rework downstream. Data Governance was required to bring in the controls required to manage data as an asset and to lay the foundations for subsequent Data Quality and Master Data Management initiatives.You will learn:• How to successfully scope out a realistic plan for

implementing Data Governance• What the unique challenges for managing

engineering data are• How engineers learned to value their data• What can be achieved within a limited budgetChanging the Tyres on a Moving Car - Data Strategy and Governance at HSBCChimene Painter, Group Reference Data Analyst, HSBC

A foundation level of how to implement a data strategy in a complex legacy environment, what needs to be done and how good data management leads to trusted intelligence.Delegates will learn:• Hints and tips on implementation• Where to start• Common problems and how to overcome them• What works and what doesn’t

Transformation through Data Governance & MDM Michelle Teufel, Global Head of Information Management, Premier Farnell

The implementation of data governance and MDM capabilities requires a cultural shift for most organisations. Alignment of business drivers with fundamental processes, systems and governance frameworks is critical to the successful implementation. Only through formalising the function and establishing credibility and understanding can such a transformation be realised; only through realising the transformation can Data Governance and MDM be truly effective. In this session attendees will learn the importance of:• Stakeholder Management & Communication

Planning• Alignment between the business strategy &

foundational capabilities• Phasing of change with organisational

transformation

Groupe Mutuel Insurance, a Success Story in Predictive Governance Walid El-Abed, Global Data Excellence & Yvan Zermatten, Data Governance Implementation Leader, Groupe Mutuel Assurance

Groupe Mutuel Assurance embarked into a Data Governance program since 2009. A transformation program was launched to modernize the insurance business through the implementation of a new system NOVA. The data conversion from the old systems to the new application highlighted major issues in the data quality which triggered the data governance program. The main objective of the DG group created was to enable smooth GO LIVE and

increase the confidence of the business functions in the data migrated. The benefits and value of such a program were quantified along with the implementation and reported to top management on a regular basis. The top management realized that with the increasing volumes of data and the tsunami of rules and regulations combined with the cyber-attacks and security risk the traditional leadership approach demonstrated its limits, hence the need for a new leadership approach. In this session you will learn how GMA decided to adopt and implement a new value based leadership framework enabling effective data governance. GMA will share with you their 4 year experience data governance journey and tell their true story of how the data governance team was able to move the data governance program from the CIO agenda to the CEO agenda. Among other topics this session will cover:• How to establish a value driven knowledge

capture.• How to align the whole organization on the

objectives, the business terms, the rules for excellence and the value to deliver.

• How to enable the definition of quantifiable objectives and value tracking with predictive capability for anticipation and governance by value.

• How to establish the missing link between business, data management, Knowledge management and IT.

• How to enable collaboration between people to deliver on common goals and common value understanding.

• How to establish an effective work organization and activity prioritization based on tangible value and anticipated results

• How to enabling multi view of the value through different KVIs covering different perspectives and roles (management, mid management, business users, data managers etc.)

Data Governance - The Personal Approach Hanne Christensen, Data Architect, Bankdata

At Bankdata, only one person is fully responsible for Data Governance – the way it is governed and developed. In this session, Hanne Christensen, the person fully responsible for Bankdata’s Data Governance, will illustrate how this is possible and why it is a good idea. At Bankdata, there are 500 developers and none of them can alter tables – not even in the test environment. Only DBA’s can alter tables and they only report to the one person responsible for Data Governance. How can this be effective? Hear how Bankdata have achieved this and how they are going forward from Data Governance to Information Governance.

The Tomorrow People, the Future of Data Governance Sits Inside Your Organisation Garry Manser, VP Data Stewardship, Barclays Bank.

Data Governance is often viewed as either a process or a set of Committees and Policies to achieve better data in an organisation. What is often forgotten is the people factor, how we engage with the organisation to build desire and support for success, across all levels of the business. This presentation will look at some of the best ways of engaging with people, what their agenda may be and how to acknowledge their input and accomplishments. Process and policy are an important part of Data Governance, but the future

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success lies with the people in the organisation, at all levels and all skill sets. The presentation will aim to:• Describe the importance of people to the

success of the organisation• Identifying how best to engage• When to let loose and when to hold on a tight

rein.

Tipping the Balance in Favour of Good Data Governance Lisa Allen, National Data Integrity Manager & Nick Keen, Data and Information National Lead, Environment Agency

Good data governance is important for any organisation - but especially one like the Environment Agency. The Environment Agency has millions of people depending on its data and information; for example predicting and managing flood risk or for environmental searches for buying a property.

Over the last three years, their Data Integrity team has successfully implemented data governance throughout the Environment Agency.

Hear their experiences of their data governance journey. From how they have identified ways to influence senior managers, through to how they have worked with the technical teams to address the issues. This presentation will cover how they have successfully tipped the balance in favour of data governance. Delegates will learn• How the Environment Agency identified ways to

influence senior managers• How they have tracked their data maturity• How they have worked in partnership with other

departments. • How they used their maturity model to put plans

in place to resolve data quality and data standards

Data Governance at Belgacom Peter Simoens, Enterprise Information Architect, Belgacom

Having started with the setup of an enterprise data model some years ago Belgacom are now gradually expanding their data management scope by adding metadata management as well as business involvement via data stewardship.

Although expected to serve the data and information needs of a large IT transformation program as well as to improve their efficiency in the domain of data analytics, establishing data management and related governance is still a challenging task in their company cultural environment.

This presentation will provide insights on:• How Belgacom are using their Belgacom

Enterprise Information Model (BEIM) to improve data integration in various domains.

• The 4 enablers they are using to expand their data management scope.

• Their ‘bottom up’ approach based on surfing the waves of business opportunities to realise their plans

Delivering Trusted Data - When it Grows by 90 Million Records a Day Paul Fulton, Head of Enterprise Data Governance, Visa Europe

Everyone knows the Visa brand; Visa cards are accepted at millions of places worldwide. However,

who they are as a company is not so well understood. They are the European payment system, wholly owned, controlled and operated by their members – that’s banks and other payment service providers - from 37 countries across Europe. Visa Europe processes millions of transactions per day, ensuring money flows quickly, securely and efficiently.

This case study presents how a data governance function was set up to support the increased demand for Business Intelligence at Visa Europe and how it evolved to take on an Enterprise role. Find out how the new function was established, the challenges encountered, and how data quality is managed with the sheer volume of records, with the added complexity that the majority of data is provided by external parties. • Visa Europe’s business model: a payments

business, not a bank and not a credit card company - what do they do?

• Data governance as part of Business Intelligence – how to start?

• Walk through of their data governance framework – what is involved?

• Practical experiences, challenges and successes - how is it working?

Data as an Asset: the Predictive Angle Hasan Al-Madfai, Associate Director, BGL Group

Data underpins a significant amount of activity in modern business. The use of data traditionally focused on operational and reporting activity. Hence, data structures were often designed to produce data that serves these operations. Beyond the “what” and “why” that these operations produce, an important question of “what is likely to happen in the future” needs to be addressed. Answering this question adds an important dimension to data use that enables scenario and predictive analysis to be carried out.

Predictive modelling approaches are generally classified into frequency and temporal approaches. Frequency approaches include logistic and polynomial regression models and are multi-variable models by definition whilst temporal approaches include exponential smoothing and classical ARIMA models, many types of which are univariate. The two modelling approaches require different views of the data, normally based on transactional and time series extracts respectively. In both cases, however, unified data definitions, quality and representativeness is a key requirement for these methods to be successful and hence for correct business decisions to be arrived at.

An overview of predictive modelling philosophy and modelling approaches will be presented, alongside real life examples of use of predictive analytics, contrasting the value of outcome when data is problematic.

How Data Governance is Helping Shell Achieve Top-Quartile Performance in Capital Projects Delivery Julian Davis, VP Enterprise Information & Data, Shell and Chris Saunders, European Leader for Data Governance, IBM

This session will provide an overview of Shell’s corporate framework for Information and Data Governance, and how it is being applied across one of the world’s largest multinational corporations with a variety of operating models - with the focus upon the way information and data are governed in

Shell’s Capital Projects. • The immediate need: get better at delivering

multi-billion capital projects • How information and data underpins and enables

effective performance • Applying ownership and governance:

prioritising and making it happen in a widely diverse environment – both functionally and geographically

• Challenges and issues; where Shell goes from here

Data Governance: A Case Study of a Pragmatic Implementation Jo Stulens, Corporate Master Data Governance Manager & Stijn Vermeulen, Corporate Director Master Data, Barry Callebaut

At Barry Callebaut, centralised Data Governance became part of the way of working over the past two years. In an environment of constant expansion the company implemented different aspects of Data Governance, in a pragmatic, step by step way with a clear focus on bringing value on the short and the long term.

Which steps did they take? What worked and what didn’t? Which challenges stay after two years? Where was the initiative successful and where not?

Learn on how they dealt with the different parts of Data Governance:• Design and implementation of Data Governance

processes• Collection and building a structure in Data Rules• Collection and publication of Data Policies• How Reference Data was first not in scope, but

became an opportunity• First steps in Data Quality measurement and

reporting

Data Governance Best Practice

Social Media Governance Phil Mennie, Manager & Sulav Saha, Senior Manager, PricewaterhouseCoopers

”Social” - one word which is taking the business world by storm while at the same time striking fear into those that just don’t quite “get it”. Whether it be the use of external Social Media for marketing or collaboration internally through Enterprise Social Platforms, it’s clear that Social is here to stay, and with it comes a wide range of opportunities and challenges. So, what exactly are the benefits and opportunities and where do the challenges and risks lie?

Effective data management and governance sits at the heart of any good Social Media Strategy and is key to ensuring risks are appropriately managed. Thinking externally, can you track what your customers are saying about you around the web and do you know who is responsible for responding to negative comments and how? What about the things you’re not sure about, could your own data have a social life you’re not aware of? For Enterprise Social Platforms it’s vital that you manage the data and controls and consider where the data will be hosted, considering which of the conflicting data laws around the world are applicable to you.This presentation covers:• What good Social Media Governance looks like• Social Media Policy and Guidelines• Data Privacy and Control in the context of Social

Media

INDUSTRY INNOVATION SESSION: Applying MDM to Improve Business Operations & Analytics Andrew Thompson, Vice President of IT Global Business Services, ICON plc

ICON is a global provider of outsourced development services to the pharmaceutical, biotechnology and medical device industries -- especially the strategic development, management and analysis of programs that support Clinical Development. Recently, the company decided to leverage MDM to provide a single view of the clinical site which in turn would evolve into sophisticated master data sharing to better support alliance partnerships. In addition to the challenge of exchanging data with the customer while concurrently introducing MDM, there was a prime requirement to daily synchronise the master data entity identifiers across three companies. This session will provide experience-based insights into the best practises to utilise MDM to improve business operations and analytics in discussing multi-domain and multi-style MDM topics including: • Applying operational MDM techniques to

align data stewardship & improve DQ at point of entry for location master data

• Leveraging analytical MDM matching to support a single version of site entity in the enterprise data warehouse

• Planning for the rollout of additional entities such as person to include support for Cloud apps such as Salesforce

Data Governance – Do’s and Don’ts for a Successful Implementation Andreas Reichert, Business Engineering Institute, St. Gallen AG

The presentation will focus on:• Design options for data governance: from

local optimisation to outsourcing• Best practices, approaches by leading

companies for implementing data governance

• Lessons learned: from data governance “powerpoint” concept to business reality

The Evolution of Law in Data Governance and Management Barry Connolly, Trademark Attorney / Lawyer, Flynn O’Driscoll Business Lawyers & Sana Khan, Barrister / Lecturer, Law Library / Griffith College Dublin

The law on data protection throughout the European Union is set to be radically overhauled by the implementation of the proposed new Data Protection Regulation. The regulation is set to introduce numerous obligations that Data Governance Managers need to be aware of.

This presentation will identify some of the key developments and seek to present the most appropriate strategies in preparation for the overhaul of the regulatory environment in which Data Governance Managers operate.

The requirement of a Data Protection Officer will be discussed. What will be the requirements of such an office holder? We will point out and identify the several areas where liability could arise.

The proposed regulation will also need to be considered when drafting policies on data security standards. Whilst breach notifications are becoming legally required, we will analyse the specific requirements in such circumstances. We will detail the security governance standards that should exist throughout the organisation in order to meet effective compliance with the law.

Making the Business Case for Information Governance Jan Henderyckx

How do you put Information Governance on your companies agenda? Should you use the new COBIT goal cascade method or try to take the cost of information defects as the selling angle? Most of the glossary or modeling exercises are seen as costs rather than benefits. The challenge is to use a language that the business will understand and see the benefits.• Translate information governance activities

into business value• Define a roadmap that you can sell to the

business• Establish metrics that allow you to

measure progress

A Risk Based Approach to Data Governance Pieter Ettes, Achmea

Achmea developed the Achmea Data Governance Framework to meet supervisory and internal requirements. The framework is a blend of propriety and open source models. Implementation of the framework revealed some issues, the most important issue being that the ‘one size fits all’ approach was not sufficient, resulting in unbalance between effort and effect. This resulted in a new principle: the risk based approach, giving answers: • Even if the data is not entirely of the expected

quality level, can we still run our business? • Do we need to implement all interpretations

of supervisory data governance measures? • Do we need to repair the data? • What do we need to do, and what can be left

out? • Who is waiting for the result of data governance?• Where can we bend the rules?• How much IT stuff do I need?

Banking on Data Governance Simon Barrows, Head of Financial Services, Glue Reply

So just how well is Data Governance being implemented by leading banks? How much Data Governance activity is being driven by “carrot” (i.e. business benefits) rather than “stick” (i.e. regulation)? How successful are Chief Data Officers in practice? Is Data Governance being effectively embedded in the fabric of business change processes? What tools are being employed to improve Data Quality? These and other questions were the subject of a survey on Data Governance in Banking carried out by specialist consultancy Glue Reply in conjunction with DAMA UK. Banking organisations across Retail, Commercial and Investment Banking were polled through a combination of 1-1 interviews and an online questionnaire. We spoke with a variety of people across both business and technology domains, including Data Governance and Quality Managers and also a number of Data and Enterprise Architects. The results paint an interesting picture of Data Governance journeys at various stages…

Panel Discussion - The Role of the CDO in an Organisation Moderator: Philip Howard, Bloor Research Panellists: Carme Artigas, Co-founder and Partner, Synergic Partners & Jan Henderyckx, Managing Partner, Envizion

According to Wikipedia a chief data officer (CDO) is “a corporate officer responsible for enterprise-wide governance and utilisation of information as an asset, via data processing, analysis, data mining, information trading and other means. The Chief Data Officer has a significant measure of business responsibility for determining what kinds of information the enterprise will choose to capture, retain and exploit and for what purposes.” That raises a lot of questions: how much of this responsibility will or should organisations assign - all of this or just some of it? And will there be authority to go with it? What sort of background and qualifications will a CDO need? Who will the CDO report to - the CEO, the CFO, the CIO? What is his relationship with the CISO? These are the sort of questions that we will be discussing about the role of the CDO

Panel Discussion - Data Stewardship Moderator: Sue Geuens, DAMA International & EPI USE Panelists: Daragh O Brien, Managing Director, Castlebridge Associates, Chris Bradley, Enterprise Services Director & Chief Information Architect, Enterprise Architects, Jan Henderyckx, Managing Partner, Envizion & Guy Harvey, Data Manager, Gocompare.com

Data Stewardship is critical for Data Governance and MDM but how do we get to effective Data Stewardship and what is the role of a Data Steward? In this session, Data Governance Practitioner, Sue Geuens will moderate a panel of experts to discuss:• Why active Data Stewardship is essential for DG

and MDM• Who should be the Data Steward?• What are the Steward’s responsibilities?• What the Data Stewardship decision process

looks like• Data Stewardship Best Practices• Pitfalls and common mistakes• Real world examples of effective Data

Stewardship from the field

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Conference Sessions - Data Governance

Just a few of the delegates who have previously attended this “Must Attend” event include:

MDM Program ManagerSolutions ArchitectHead of BIMDM LeadGlobal Data Strategy ManagerData Governance AnalystApplication ArchitectData Management AnalystHead of Enterprise ArchitectureData ArchitectInformation StrategistData Management & BI SpecialistGlobal Solutions ArchitectDir. Global Data ManagementEnterprise Data ArchitectGlobal Data GovernanceData Governance ArchitectData Governance ManagerHead of Information GovernanceGlobal Lead IT Data AnalystBI ArchitectEnterprise Information Architect

Master Data Governance Mgr.Head of Data QualityData Manager MDMProcess Owner, MDMGlobal BI Data ManagerMDM Practice DirectorGlobal Master Data ManagerLead Information ArchitectSolution Architect - Data IntegrationData & Integration ArchitectEnterprise & InformationArchitectureLead Enterprise ArchitectTechnical ArchitectLead Solutions ArchitectMaster Data ArchitectData Strategies & Systems IntegrationInformation ArchitectStrategy and Process ExcellenceInformation Governance ManagerChief Technology OfficerAsset Information & Change Mgr.

De Nederlandsche BankCapgemini Nederland B.V.Saudi Basic Industries CorporationDeutsche BankUK Post OfficeUnileverNovo Nordisk A/SDong EnergyBarclays BankNokiaBritish American TobaccoAccentureShellHome Office - UK Border AgencyBritish GasRasGas CompanyLloyds Banking GroupRoyal Bank of ScotlandCoca-ColaPanasonic EuropeErnst & YoungGlaxoSmithKline

IBMLondon Borough of BrentCitigroupAdidas GroupDeticaMinistry of DefenceFord Credit EuropeAston Martin LagondaRS Components UKITV plcNovartis PharmaFinancial TimesTNTKPMGAvivaForrester ResearchNational Australia Group EuropeVisa EuropeSiemensGreene KingStandard Life InvestmentsVodafoneWorld Bank

Cambridge University PressOxford University PressGE Money BankNorwegian DefenceThames Water UtilitiesBPCapita IT ServicesINGFinancial Services AuthoritySainsburysBritish TelecomWarwickshire County CouncilCadburyNFU MutualRolls-RoyceZurich InsuranceHQ Land ForcesAlcatel-LucentCSCJohnson and Johnson

JOB TITLESCOMPANIES

A “Must Attend” Event!

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“Very well organised, high quality presentations and good speakers.”Alan Kimberley, Principle EA, Orange PLC

“2 days well spent. Great mixture of presentations. Impressed by speakers and breadth of coverage.” Lee Bailey, Senior Manager, BAE Systems Detica

“An enjoyable and informative event providing excellent networking opportunities and valuable insights into the trends and technologies in the MDM and Data Governance markets.”Dave Bennett, Analyst, Morrisons

“Very good and practical approach, real life cases and presentations.”Maija Hamalainen-Nikula, Senior Manager, Nokia Ltd

“Really great conference. Learnt so much and it’s good to get some straight talking.”Ron Nicholls, Data Quality Consultant, BT

“It was a very good opportunity to get/share information about the topics MDM, CDI and Data Governance. It was worthwhile attending the conference!”Roland Christen, Application Architect, Credit Suisse

“Content and delivery of speeches kept me interested for the whole duration of the summit.”Michael Patino, Information Analyst, Marks & Spencer Money

“Really well run, really well organised, lots of good speakers and excellent case studies.” Martin Campbell, Information Architect, National Australia Group

“I really enjoyed the case studies that combined the recommendations of the consultant with the implementation in practice at the end user site. Let’s have more like this please!” Toni McDerment, Enterprise Data Architect, Reuters

“Great meeting other people on the MDM & DQ journey, and that they are having the same problems. Most useful thing is hearing how people have overcome these.”Paul Williams, Data Manager, United Utilities

“High quality event with top speakers and topics. A perfect mix between MDM and Data Governance status and trends.” Galand Vincent, Senior Business Analyst, ING Belgium

“Came here to get independent views and got them in droves! Very well organised. Top Speakers.” Boaz Muyutu, Data Architect, Telkom SA

“Best conference I have attended so far.” Emeric Nectoux, Enterprise Architect, Volvo

“Very good crash-course into MDM & DG. Day 1 (Aaron’s bootcamp) is a USP. Thanks for organizing!” Rolf Emmens, Manager MDM, Getronics

“Very well organised, high quality presentations and good speakers.” Alan Kimberley, Principle EA, Orange PLC

“2 days well spent. Great mixture of presentations. Impressed by speakers and breadth of coverage.” Lee Bailey, Senior Manager, BAe Systems Detica

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Master Data Management Summit Europe 2014Data Governance Conference Europe 2014

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Registration Fees:Full payment or a purchase order is due prior to the conference. Payment may be made in Sterling (£) or Euros (€).

If paying in Euros the prevailing exchange rate of the country of the delegate or delegates’ company is to be used. The total Euros remitted should be the amount required to purchase the sterling pound cost of the event on the day of payment.

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The registration fee includes the conference lectures, documentation on USB Stick (no printed version of this is made available at the event), refreshment breaks and lunch on each day of the conference. The cost of hotel accommodation is not included in the conference fee.

Discounts:Discounts are available for group bookings of 2 or more delegates made at the same time. This cannot be used in conjunction with other discounts.

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.

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Conference Location:Radisson Blu Portman Hotel22 Portman Square, London, W1H 7BG, UKTel: +44 (0)20 7208 6000 Fax: +44 (0)20 7208 6001www.radissonblu.co.uk/hotel-london

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