Conference Day 2 - 21 April 2110

09:00-10:00 Plenary
Keynote
Process Data Management: The Ultimate Goal Of Your MDM and Data Governance Efforts
Rob Karel, Principal Analyst, Forrester Research
10:00-10:30   Break and Exhibits
10:30-11:30 Keynote Data Governance, Why Now?
Robert Seiner, President & Principal, KIK Consulting & TDAN.com
11:35-12:20 Track 1 BEST PRACTICES: 10 Models for Data Governance & Stewardship
Gwen Thomas, President, The Data Governance Institute
Track 2 CASE STUDY: How to create and measure business value applying the data excellence framework
Walid El-Abed, Global Data Excellence
Laurence Orazi, Alcatel-Lucent
12:20-13:50   Lunch and Exhibits
13:00-13:45   The Perfect Storm: Extreme Data Performance
Joe Litchenburg, Data Integration Specialist, Syncsort
13:50-14:35 Plenary
Keynote
MDM strategies or how to turn your data into corporate asset
João de Oliveira, Director Business Development, Europe, Middle East and Africa (EMEA), Oracle
14:40-15:25 Track 1 BEST PRACTICES: MDM Data Governance
Andy Hayler, CEO, The Information Difference
Track 2

CASE STUDY: Data Quality Continuous Improvement Processes at ABN Amro
Theo Kêster, Data Quality Manager, ABN Amro
Thibaut De Vylder, CEO, Deployments Factory

15:25-15:55   Break and Exhibits
15:55-16:40 Track 1 TRENDS: The Lisbon Treaty and Data Protection: What's the implications for Europe's Privacy Rules?
Gordon Wanless, Head of Information Governance, NHS Business Services Authority
Track 2 BEST PRACTICES: A Guide to Data Discovery - Vital Technology for Enterprise Data Governance Success
Mike Ferguson, Managing Director, Intelligent Business Strategies
16:45-17:30 Track 1 Q&A SESSION: Developing a 3-Year DG Roadmap
Asking the Questions: Gwen Thomas, President, The Data Governance Institute
Answering: Pablo Riboldi, Information Governance Manager, LDS Church
Track 2 BEST PRACTICES: Understanding and Mapping the Data Landscape
Malcolm Chisholm, President, AskGet.com
17:30-17:45   Conference Close
 

Wednesday
21 April
09:00–10:00

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PLENARY KEYNOTE: Process Data Management: The Ultimate Goal Of Your MDM and Data Governance Efforts
Rob Karel, Principal Analyst, Forrester Research

Data management professionals drive master data management (MDM) strategies to ensure delivery of a single, trusted enterprise view of data to the business, but struggle to engage business stakeholders to support and participate in traditionally IT-driven data quality efforts. Business process management (BPM) professionals, on the other hand, understand the need for data but often give it lip service, doing little to take responsibility for ensuring data quality within their processes. This keynote will discuss how an effective data governance program can help organizations embrace Process Data Management best practices to deliver "one version of the truth" as a key foundation for business process transformation efforts.

What you will learn:

  • Why high quality data require standardized business processes and critical business processes demand high quality data.
  • Strategies for prioritizing and aligning process and data initiatives
  • Relevant market trends around data governance and master data management
  • Recommendations on how to kickoff your process data management strategy

Featured Speaker:

Rob Karel

Rob Karel
Principal Analyst
Forrester Research


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 Wednesday
21 April
10:30–11:30

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KEYNOTE: Data Governance, Why Now?
Robert Seiner, President & Principal, KIK Consulting & TDAN.com

Data Governance is already happening at your organization; to some degree. So is Data Stewardship. But even though most Organizations know this is true, Organizations repeatedly ask the questions, "Why should we govern data?", "What does it mean to govern data?" and "Why is now the right time?" These questions and more will be answered in this keynote session by Robert S. Seiner:
  • What is the message that should be sent to Management regarding why Data Governance is important and how Data Governance can be implemented in a practical and pragmatic manner?
  • Why is the timing right to implement a Data Governance Program, what does it really mean to "Govern data" and how much involvement should be expected?
  • What are the similar traits of Organizations that have demonstrated success with their Data Governance programs?

Featured Speaker:

Robert Seine

Robert Seiner
President & Principal
KIK Consulting
& TDAN.com

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s11:35–12:20 CONCURRENT SESSIONS

 Wednesday
21 April
11:35–12:20

Track 1

 

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BEST PRACTICES: 10 Models for Data Governance & Stewardship
Gwen Thomas, President, The Data Governance Institute


How should you organize for success? Do you need more than one Data Governance Council? Should you have Enterprise, Tactical, and/or Operational Data Stewards? What should your support function look like? Who should be empowered to make policy, define standards, enforce controls, and resolve issues? How many staff members do you really need to be successful?

This session acknowledges that a model that is right for one organization may be exactly wrong for another. While introducing a 3-part archetype for Data Governance, it introduces ten variations on that model and cultural/environmental reasons for choosing a particular variation. We look at Data Governance org charts from a variety of companies and analyze how those functions might fit into business, information, and technology management structures. Attendees will learn:

  • A meta-pattern for Data Governance and Stewardship organizations
  • Different types of stewardship roles, and when you might need each type
  • Low-budget options for staffing a program and engaging participants

Featured Speaker:

Gwen Thomas

Gwen Thomas
President
The Data Governance Institute


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Wednesday
21 April
11:35–12:20

Track 2

 

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Case Study CASE STUDY: How to create and measure business value applying the data excellence framework
Walid El-Abed, Global Data Excellence
Laurence Orazi, Alcatel-Lucent
  • High level presentation of the data excellence framework
  • Alcatel-Lucent Business case overview
  • Pilot results and finding
  • Build upon the pilot towards incremental data governance for sustainable data quality and business value generation
  • Key success factors pitfalls
  • Lessons learnt
  • Conclusion

Featured Speakers:

Walid El-Abed

Walid El-Abed
Global Data Excellence

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Laurence Orazi Laurence Orazi
Alcatel-Lucent

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Wednesday
21 April
12:20–13:50
Lunch and Exhibits
 
Wednesday
21 April
13:00–13:45

Industry
Innovation
Session

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The Perfect Storm: Extreme Data Performance
Joe Litchenburg, Data Integration Specialist, Syncsort


'Most data integration software products that are in use today are not well-optimized for processing large volumes of data on commodity hardware in short timeframes. In fact, this is one of the main reasons that data performance problems exist in the first place...'

Learn how...

DMExpress DI Acceleration Solution provides the fastest, most cost-effective, and most scalable way to eliminate performance bottlenecks in existing data integration environments.

  • Non-disruptive to the organization's existing data warehousing and data integration infrastructure
  • Runs on a minimal resource footprint on off-the-shelf commodity hardware, while reducing the total hardware requirements for the project

Rapid implementation - in days, not months - and easily extensible for future modifications.

Speaker:

Joe Litchenburg

Joe Litchenburg
Data Integration Specialist
Syncsort

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Wednesday
21 April
13:50–14:35

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PLENARY KEYNOTE: MDM strategies or how to turn your data into corporate asset
João de Oliveira, Director Business Development, Europe, Middle East and Africa (EMEA), Oracle

IT organisations who decide to engage in an MDM project face two key challenges: (1) justifying the investment to their business counterparts and (2) defining and executing a deployment plan that minimise implementation risk. In this session, you will learn some of the key levers Oracle customers have used to demonstrate short-term, visible, achievable, and tangible business benefits. In particular, this session will highlight a number of real MDM case studies with measured ROI. You will also learn about some of the critical challenges faced by real world organisations who have delivered an MDM project and how Oracle MDM applications have helped addressing these challenges. Finally this session will also go over the latest MDM product releases and Oracle MDM's roadmap especially in the areas of end-to-end Data Quality, Data Governance and Integration.

In particular, attendees will gain insight into:

  • Understanding how to justify MDM projects and exploit the most appealing & achievable ROI scenarios
  • Understanding typical risks in MDM implementations and strategies to reduce them
  • Understanding Oracle MDM Product strategy and latest innovations

Featured Speaker:

Joao de Oliveira

João de Oliveira
Director Business Development, Europe, Middle East and Africa (EMEA)
Oracle

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ss14:40–15:25 CONCURRENT SESSIONS

Wednesday
21 April
14:40–15:25

Track 1

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BEST PRACTICES: MDM Data Governance
Andy Hayler, CEO, The Information Difference


Data Governance is a key element of any successful Master Data Management (MDM) program. In this session you will learn:
  • the relationship between MDM and data governance
  • how organizations are implementing data governance today
  • the pitfalls that can occur in such projects
  • best practice in this area.

The session will draw extensively on real-life case studies and Information Difference surveys and research into data governance.

Speaker:

Andy Hayler

Andy Hayler
CEO
The Information Difference


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Wednesday
21 April
14:40–15:25

Track 2

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Case Study CASE STUDY: Data Quality Continuous Improvement Processes at ABN Amro
Theo Kêster, Data Quality Manager, ABN Amro
Thibaut De Vylder, CEO, Deployments Factory


In the financial service industry, the quality of data is pointed as a recurring issue. Poor data quality leads to corporate decisions based on potentially misleading reports, and also has a direct cost. ABN Amro has implemented data quality continuous improvement processes in various corporate reporting chains (Basel 2, accounting systems, rating systems...)

Their experience shows that

  • Data quality must be considered in various dimensions
  • Measures may be implemented in various systems
  • KPI's can be built on these measures
  • Recurrent analysis together with ad-hoc analysis may identify many sources of non quality
  • That solving these issues does not always require IT investment. Low cost changes in procedures or appropriate communication may have better results.

Speakers:

Theo Kester

Theo Kêster
Data Quality Manager
ABN Amro

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Thibaut De Vylder

Thibaut De Vylder
CEO
Deployments Factory

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s15:55– 16:40 CONCURRENT SESSIONS

Wednesday
21 April
15:55–16:40

Track 1

 

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TRENDS: The Lisbon Treaty and Data Protection: What's the implications for Europe's Privacy Rules?
Gordon Wanless, Head of Information Governance, NHS Business Services Authority


Following the recent ratification by Ireland and the Czech Republic, the Lisbon Treaty will enter into force on the 1st December 2009. This agreement substantially overhauls the EU's founding treaties, namely the Treaty on European Union (1992) and the Treaty establishing the European Economic Community (1957), the latter of which is renamed the Treaty on the Functioning of the European Union. The Lisbon Treaty also alters the legal grounds for legislation in the data protection area in ways that could impact privacy regulation. Gordon's presentation will describe the key changes and consider the potential effect on Europe's data protection framework.
  • What the key changes will be
  • Gain an understanding of the potential effect on Europe's data protection framework.

Speaker:

Gordon Wanless

Gordon Wanless
Head of Information Governance
NHS Business Services Authority

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Wednesday
21 April
15:55–16:40

Track 2

 

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BEST PRACTICES: A Guide to Data Discovery - Vital Technology for Enterprise Data Governance Success
Mike Ferguson, Managing Director, Intelligent Business Strategies

This session looks at Data Discovery, the new technology in the Enterprise Data Governance marketplace. It looks at what it is and how it can be used to in both Enterprise Data Governance and in Data Management. It also discusses why this particular type of technology is so vital in getting control of data in a data governance program.
  • What is Data Discovery?
  • Why do we need it? - the business case
  • Approaches to Data Discovery and the pros and cons
  • Using Data Discovery in Enterprise Data Governance
  • Using Data Discovery in Enterprise Data Management
  • Data Discovery Requirements
  • Data Discovery Technologies in the marketplace
  • Integration of Data Discovery with other data governance and data management technologies
  • Conclusions

Speaker:

Mike Ferguson

Mike Ferguson
Managing Director
Intelligent Business Strategies

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s16:40 – 17:30 CONCURRENT SESSIONS

Wednesday
21 April
16:45– 17:30

Track 1

 

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Q&A SESSION: Developing a 3-Year DG Roadmap
Asking the Questions: Gwen Thomas, President, The Data Governance Institute
Answering: Pablo Riboldi, Information Governance Manager, LDS Church


In this informative Question & Answer session, you will learn how to develop a Data Governance Roadmap for your organization gleaning from the experiences of Gwen Thomas, from the Data Governance Institute, and Pablo Riboldi, from the LDS Church. Whether you are starting you DG Program or need to assess your own progress a roadmap is essential to keep the immediate and ultimate goals in mind. Some of the questions to be answered are:

  • Deciding what to govern and what problems to solve,
  • Establishing value statements for the governance effort,
  • Identifying and engaging data stakeholders for new efforts,
  • Discovering data relationships,
  • Making data-related decisions and assigning authority levels,
  • Establishing accountabilities for data-related rules and controls,
  • Using the roadmap while remaining flexible and adaptable.

Gwen will ask the questions, Pablo will share his experiences, and Gwen will fill out a roadmap template that you can take with you and use for your own roadmap. Your questions for Gwen and Pablo will also be answered.

Speakers:

Gwen Thomas

Gwen Thomas
President
The Data Governance Institute

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Pablo Riboldi

Pablo Riboldi
Information Governance Manager
LDS Church

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Wednesday
21 April
16:45– 17:30
Track 2

 

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BEST PRACTICES: Understanding and Mapping the Data Landscape
Malcolm Chisholm, President, AskGet.com

The production data landscape is poorly known in nearly all enterprises. Yet the only reality for business users is the totality of the enterprise's physical data assets. This presentation explores the nature of the production data landscape and the techniques available for mapping it. The establishment of an inventory of all data assets as a fundamental item of infrastructure for data governance is described. The challenges of gathering this metadata, and the role of tools are explored. The importance of data categorization in the mapping exercise, and they ways in which this is linked to data governance is also dealt with. Emerging areas, such as contract management that requires tracing lineage of data purchased from vendors, are introduced.

Attendees will learn:

  • What the production data landscape is, and estimates of it scale
  • The role of tools in mapping the data landscape
  • Metadata that can be gathered for the data landscape, and enriching metadata
  • Data categorization techniques for differentiating structure in the data landscape
  • Tracing data lineage and flows across the data landscape

Speaker:

Malcolm Chisholm

Malcolm Chisholm
President
AskGet.com

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Wednesday
21 April
17:30– 17:45

 

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CONFERENCE CLOSE