Conference Sessions - December 9, 2010

Thursday
9 December
7:30–8:20
Registration and Continental Breakfast
7:30 - 8:20 SPECIAL INTEREST GROUPS

Thursday
9 December
7:30–8:20

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Meet the Data Governance Professionals Organization
Davida Berger
Pablo Riboldi, Data Governance Professionals Organization

The Data Governance Professionals Organization (DGPO) is a newly formed international non-profit, vendor neutral, association of business, IT and data professionals dedicated to advancing the discipline of data governance.

Our vision is to be the primary resource for practitioners working in data governance.

Join us on Thursday morning and meet the founding committee and learn more about this group!

Speakers:
Davida Berger

Davida Berger


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Pablo Riboldi

Pablo Riboldi
Data Governance Professionals Organization

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Thursday
9 December
8:30–8:45

Welcome

Thursday
9 December
8:45–9:45

KEYNOTE

 

KEYNOTE: What Does 'Manage Data Assets' Really Mean?
Thomas C. Redman, Ph. D., the Data Doc, Navesink Consulting Group

For nearly a generation, managers have exhorted their organizations to “manage data as business assets.”  But relatively little has happened, perhaps because the logical follow-up question, “what exactly should we do differently?” go unanswered.   

This presentation answers that question.  It makes three mutually-reinforcing “prescriptions” and shows how leading companies follow them.  Specifically:

  • Take care of the data:  Focus on the data with the greatest market potential and improve by at least an order of magnitude.   
  • Put the data to work.  There are many ways to do so, but the most important involve bringing data and information to market, either selling them directly or using them to enhance other products and services. 
  • Evolve the management system.  Data are unlike other assets, perils unlike any other asset have properties to leverage and accommodate these properties.
Speaker:
Thomas C. Redman, Ph. D.

Thomas C. Redman, Ph. D.
the Data Doc
Navesink Consulting Group

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10:15 - 11:15 CONCURRENT SESSIONS

Thursday
9 December
10:15–11:15

Beginner
Track

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Governance for Metadata
Malcolm Chisholm, President, AskGet.com

Data Governance is not widely accepted as necessary, but if it really is, where does that leave the governance of metadata?  Surely the Data Management function cannot advocate Data Governance for the rest of the enterprise, but leave the metadata ungoverned.  This presentation examines what is required for metadata governance.  It lists the various categories of metadata that need governance, and the different kinds of governance involved.  In addition the presentation examines the stakeholders involved in metadata governance and how they are distributed among the business and IT.  Tools and techniques for metadata governance are described.  Problems that can arise from lack of governance of metadata are explored, along with how to justify the allocation of resources to metadata governance.  With the constant growth in the volume and scope of metadata, Metadata Governance is now becoming essential.   

Attendees with learn from this presentation:

  • Why metadata requires governance, and the challenge it involves
  • Some specific examples of Metadata Governance
  • An approach to how to govern metadata
  • Typical roles and responsibilities for Metadata Governance
Speaker:
Malcolm Chisholm

Malcolm Chisholm
President
AskGet.com


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Thursday
9 December
10:15–11:15

Intermediate and Advanced
Track

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How to Expand and Grow Your Data Governance Program
Winston Chen, VP Strategy and Business Development, Kalido
Becky Briggs, Senior Manager/Data Steward, ARC

Most data governance programs follow the “Start small, think big” strategy, beginning with a narrow remit in order to gain initial success before expanding to the rest of the organization. While the theory is sound, in reality, it can be difficult to figure out how to translate an initial success into an operationalized, institutionalized program. This presentation will discuss ways to expand success in one data governance area to the others.

Becky Briggs of ARC will highlight her own experiences in developing a mature, policy-centric data governance program and how the program has expanded and evolved with greater organizational support.

In this session, attendees will hear:

  • Real-life experiences and tips from the data governance trenches
  • How to translate an initial departmental, regional or project success into a broad-based program
  • The key elements of a successful data governance program
Winston Chen

Winston Chen
VP Strategy and Business Development
Kalido

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Becky Briggs

Becky Briggs
Senior Manager/Data Steward
ARC

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Thursday
9 December
10:15–11:15

Data Governance
in Practice

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Selling Data Governance  
John Ladley, President, IMCue Solutions

Organizations need to develop a business case for Data Governance, even if they are not required to do so.  How can you measure data governance if you have not set any targets in advance?  This presentation will cover the significant drivers for data governance (DG) that offer solid financial results and will expedite solidifying your DG effort.  We will review real examples from a successful Data Governance implementation at Erie Insurance Group which will reinforce the objectives of this session. 

This session will cover:

  • Finding financial hard benefits through data profiling and business alignment
  • Components of marketing and selling data governance
  • Development of a business case
  • Development of a “sales presentation” 
Speaker:
John Ladley

John Ladley
President
IMCue Solutions

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arrow11:30 - 12:00 DATA GOVERNANCE SOLUTIONS

Thursday
9 December
11:30–12:00

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From Data Discovery to MDM: The Single-Platform Approach to Data Management
John Marrama, Solutions Engineer, DataFlux


Companies worldwide are struggling with the spread of data throughout the enterprise – and an ever-growing mix of technologies to manage that data.  In this session, participants will learn how a single platform for the key requirements of data management, including data quality and data integration capabilities, can help companies fix their data challenges today and realize immediate benefits from their data assets.  The session will also demonstrate how these capabilities can be extended to build the foundation for more complex, resource-intensive goals like data governance and MDM. 
Speaker:
John Marrama

John Marrama
Solutions Engineer
DataFlux

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Thursday
9 December
11:30–12:00

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Metadata: The Beating Heart of Data Governance
Ian Rowlands, Senior Director of Strategy, ASG Software Solutions
Of course data governance depends on culture, discipline, executive buy in… and all that good stuff. The truth is, though, that the real work gets done with a plethora of tools. All too often the tools end up as islands of technology, and the lack of tool integration creates disconnects that are directly contrary to a disciplined approach to data governance! This session presents a reference architecture for governance technology, based around the ASG-Rochade enterprise metadata repository and associated technology.
Speaker:
Ian Rowlands

Ian Rowlands
Senior Director of Strategy
ASG Software Solutions

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Thursday
9 December
11:30–12:00

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Data Governance: Reports, Rules, Controls, Audits, Stewards
Arka Mukherjee, CEO, Global IDs


How does an organization govern its core information assets? This presentation describes different deliverables that need to be created by a Data Governance program. Participants will be invited to hands-on session to explore the reports, rules, controls, audits that data stewards can use to govern their information assets.
Speaker:
Arka Mukherjee

Arka Mukherjee
CEO
Global IDs

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1:00 - 2:00 CONCURRENT SESSIONS

Thursday
9 December
1:00–2:00

Beginner
Track

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How to be an Effective Data Governance Manager  
Robert S. Seiner, President and Publisher, KIK Consulting & Educational Services and TDAN.com

This session will focus on the styles and activities of Data Governance Managers and the impact they have on the success of their programs.
Most people are familiar with the popular series of books – “Seven Habits” – written by Stephen Covey. This session from Bob Seiner will focus on seven habits of successful Data Governance Managers. Mr. Seiner will share examples of styles and activities of Data Governance Managers that lead their organization’s Data Governance practices and programs, and the impact that these styles and activities have on the results of the program.

This session and the habits introduced will focus on successful Data Governance Managers:
  • Program Approach Styles / Activities
  • Program Management Styles / Activities
  • Communication Styles / Activities
  • Sales & Justification Styles / Activities
  • Conflict Resolution Styles / Activities
Speaker:
Robert S. Seiner

Robert S. Seiner
President and Publisher
KIK Consulting & Educational Services and TDAN.com

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Thursday
9 December
1:00–2:00

Intermediate and Advanced
Track

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Motivating the Volunteer Army - Establishing a Data Stewardship Community of Practice
April Reeve, Consultant, EMC Consulting

Even in organizations where some of the members of the Data Governance program are full time, most of the Data Stewards involved will have jobs that are not directly about Data Governance. What is the motivation for these resources?

A Data Stewardship "Community of Practice" is created by identifying people in the organization who play a Data Stewardship role, regardless of their reporting relationships. The value to the organization is to establish standards of behavior and process.
The value to the individuals involve concepts of "Participation", "Identity", and professional development.
  • Communities of Practice
  • Participation, Membership, and Identity
  • Learning
  • A career not a job?
Speaker:
April Reeve

April Reeve
Consultant
EMC Consulting

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Thursday
9 December
1:00–2:00

Data Governance
in Practice

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Using Collaborative Technology to Transform a Large Enterprise into a Data Governance Culture
Julian Shelbourne, Consulting Manager, Capgemini Financial Services
Radhika Madaan, Master Data Management Program Manager, Kaiser Permanente

Kaiser Permanente is a large and complex health-care and health-insurance provider, advancing quality of care through integrated analytics against massive volumes of membership and clinical data. The sheer scale of Kaiser’s operations - with multiple lines of business, deep historical presence and geographic dispersion - stretches the limits of traditional data-management approaches which are often lacking in business focus, governance, and involvement. Kaiser is emphasizing business data governance and empowerment, and data-warehouse tool integration to facilitate business-driven, business-aligned, sustainable analytics.

This session will provide an overview of Kaiser Permanente's work to enable a platform for collaborative knowledge-capture from subject-matter experts, including the definition of a federated enterprise analytics glossary and the use of it as a foundation for data-integration design and maintenance activity - and will explore Kaiser Permanente’s actual implementation, IT and business-level accomplishments to date, lessons learned, and future technology

Speakers:
Julian Shelbourne

Julian Shelbourne
Consulting Manager
Capgemini Financial Services

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Radhika Madaan

Radhika Madaan
Master Data Management Program Manager
Kaiser Permanente

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arrow2:10 - 3:10 CONCURRENT SESSIONS

Thursday
9 December
2:10–3:10

Beginner
Track

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How to Measure Your Data Governance Program to Prove Value
Martha Dember, Senior Practice Consultant, EMC2 Corporation


In this practical facilitated discussion, attendees will learn about the development of data governance metrics and how these assist in both the maintenance and publicity of a data governance program.

Data governance metrics include many areas of an information management program and function including but not limited to: Metadata management, Data profiling, Data classification and Verification, Data quality, Cleansing efforts and Stewardship.

We will focus the discussion on the development of data governance metrics and how the following areas below provide structure to data governance initiatives:

  • Discuss what Data Governance Metrics to Create
  • Proving the Value Proposition to Management
  • Example Report
Attendees Will Participate in a Facilitated Discussion of:
  • Tips on What Metrics Demonstrate Value
  • Create A Sample List of Metrics
Speaker:
Martha Dember

Martha Dember
Senior Practice Consultant
EMC2 Corporation

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Thursday
9 December
2:10–3:10

Intermediate and Advanced
Track

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Data Governance in US Army Logistics Context: Improved Decision Making Specifics
Edward Reddick, DALO CID (Data Management), US Army
Peter Aiken, Founder, Data Blueprint

The Army Logistics community relies on data to make logistics decisions which have the ability to greatly impact the Army budget, Army readiness and Army effectiveness in combat. It is critical that the people involved in this decision-making process share a unified view and approach of accurate and timely data that is well defined, of high quality, and accessible on demand. We describe the specifics of the decision- making context that existed prior to the implementation of the G4 Data Stewardship program, the program, its implementation, and the way the Army is using these improved stewardship capabilities to harmonize decision making across the logistics community. We provide several examples of improved decision making and associated decisions as a results of the G4 Data Stewardship program. The G-4's efforts are in support of improved Army Logistics information quality which, in turn, enable more effective decision
making.
Speakers:
Edward Reddick

Edward Reddick
DALO CID (Data Management)
US Army

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Peter Aiken

Peter Aiken
Founder
Data Blueprint

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Thursday
9 December
2:10–3:10

Data Governance
in Practice

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Calculating a Baseline Data Assessment as part of your Data Governance Program
Anne Marie Scarisbrick-Hauser, Senior Strategist, Incisive Analytics

The average organization surveyed by Gartner (2009) indicates that the loss of revenue related to data quality is due to lost productivity among workers who, realizing their data is incorrect, are forced to compensate for the inaccuracies or create workarounds when using both operational and analytical applications. A more sophisticated view of data quality includes an evaluation of the interaction of employee behavior, current business processes, technologies and governance processes to enable an organization to meet business goals and objectives. A baseline data assessment is recommended as key success factor to support a data governance program.

Attendees will learn about how the following components of a baseline data assessment that provides an evidence-based foundation for future data governance strategy and planning:
  • Data Quality Governance: Policies, Business Rules and Quality Targets
  • Data Quality Governance: Success Indicators
  • Data Ownership Management
  • Key Information Element Selection
  • Data Quality Samples and Metrics
  • Data Quality Metrics Monitoring
Speaker:
Anne Marie Scarisbrick-Hauser

Anne Marie Scarisbrick-Hauser
Senior Strategist
Incisive Analytics

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arrow3:10 - 4:00 ICE CREAM RECEPTION AND EXHIBITS OPEN
4:00 - 5:00 CONCURRENT SESSIONS

Thursday
9 December
4:00–5:00

Beginner
Track

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Data Governance- 7 Best Practices of Highly Effective Data Governance Initiatives
James Orr, Global Director, Enterprise Data Strategy, Trillium Consulting

In the face of new governmental regulations and policies, organizations will be required to provide increasing levels of visibility and clarity about their data. As a result, data governance will become mission-critical for organizations to better understand how data impacts business results and risk. Yet, many companies are in the dark about practical, proven methods for incorporating data governance in a cost-effective and impactful way.

Data governance is a complex array of data management and organizational challenges that test the best the industry has to offer. This unique discipline of orchestrating people, process, technologies, and cross-functional business alignment is every bit as intricate as your global enterprise data architecture. While success can be allusive and the task daunting, it is important to note that high performance data governance is achievable by sticking to the fundamentals.

Learn seven practical and fundamental best practices that are sure to steer your data governance program in the right direction.

In this session, you will learn:
  • What are the 7 Practical Best Practices for Data Governance,
  • How can you achieve executive buy in,
  • How do you plan for organizational change,
  • How do you get started, and what are the first steps,
  • How does data management technology impact data governance,
  • What should be measured and how.
Speaker:
James Orr

James Orr
Global Director, Enterprise Data Strategy
Trillium Consulting

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Thursday
9 December
4:00–5:00

Intermediate and Advanced
Track

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Strategic Partnerships in Data Quality and Data Governance - A Success Story
Kira Chuchom, Enterprise Data Quality and Data Governance, Cisco


Strategic Partnerships in Data Quality and Data Governance - A Success Story" is a real-world example in relationship building, sustaining Strategic Partnerships between Business and IT, Best Practice sharing, engagement management, developing business value and executive sponsorship in Data Quality and Data Governance.

The backdrop for this story is Cisco's own lessons learned in cross-functional collaboration along the journey towards Enterprise-wide Data Quality and Data Governance.

The session provides an overview of Cisco's practical approaches in Data Quality and Data Governance through a few key enablers from a "How-To" perspective:
  • Federated Data Governance framework
  • Data Quality Improvement methodology (DQ Baseline; Data Certification)
  • Data Quality Center of Excellence (co-led by Business and IT)
  • Data Stewardship Community
  • Deployment of data quality tools
Speaker:
Kira Chuchom

Kira Chuchom
Enterprise Data Quality and Data Governance
Cisco


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Thursday
9 December
4:00–5:00

Data Governance
in Practice

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Leveraging Data Governance to Improve Data Quality at ConAgra Foods
Corey Cashmere, Manager Data Governance, ConAgra Foods

In 2007, the data ConAgra Foods was providing to its customers were some of the worst in the industry.   Various retailers had ranked ConAgra Foods near the bottom for data quality.  Both internally and externally there was little confidence in the data around product packaging specifications creating various distribution and customer service issues.   ConAgra Foods Data Governance Team identified the data touch points and then worked back into various business areas including Product Development, Sales, Warehousing, Transportation and Customer Service to effect changes.   These improvements not only impacted internal business areas, but helped ConAgra achieve a 100% accuracy rating with its customers.  This helped strengthen ConAgra’s Data Governance program as an essential part of the enterprise.    

In this presentation, learn how ConAgra foods developed and built consensus for Data Quality by focusing on the business impacts of Data Quality, and hear how ConAgra executed the needed changes to data, processes and, most importantly, culture that took them from worst to first with their customers.

2010 DG Best Practice Award Finalist

Speaker:
Corey Cashmere

Corey Cashmere
Manager Data Governance
ConAgra Foods

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arrowDATA GOVERNANCE SOLUTIONS

Thursday
9 December
5:10–5:40

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Taking the First Step: How to Set the Right Initial Scope for Data Governance
Mike Wheeler, Director of Data Governance Solutions, Kalido
Getting started with data governance can seem overwhelming – it has the potential to take on an impossibly large scope and a pervasive, enterprise-wide reach. Successful organizations embarking on the data governance journey have thrived by first starting small, proving the value of data governance, and capitalizing on those achievements to expand the scope. This session will discuss how to develop a manageable initial scope that can produce immediate business benefit while instituting a permanent organizational structure and processes.

In this session, attendees will learn:

  • The five dimensions to data governance scope
  • The three ways of narrowing scope (by data, system and business process)
  • The easiest way to showcase tangible ROI and align the program with business objectives
Speaker:
Mike Wheeler

Mike Wheeler
Director of Data Governance Solutions
Kalido

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Thursday
9 December
5:10–5:40

 

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Companies making Data Governance a reality
The Business Semantics Glossary
Stijn Christiaens, Director Field Operations, Collibra


The Business Semantics Glossary, Collibra’s Data Governance platform, was launched almost a year ago. As such it was one of the first platforms entirely focused on Data Governance. During this session we will show how technology has supported Data Governance initiatives at a number of customers in different verticals: Finance, Government, Utilities,… . These are real cases about companies using technology to make Data Governance a practical reality. We will discuss their main drivers for starting a Data Governance initiative. As well as their pragmatic approach in moving towards a gradual roll out of technology to support and sustain their Data Governance program. The importance of Business to IT alignment and the challenges to support this social process will be highlighted. Because Data Governance is about Data, Process and People.

This will be illustrated with live demo examples and scenario’s. Making Data Governance real.

Speaker:
Stijn Christiaens

Stijn Christiaens
Director Field Operations
Collibra

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5:40 - 7:30 RECEPTION AND EXHIBITS
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