Conference Sessions - December 10, 2010

Friday
10 December
7:00–8:30
Registration and Continental Breakfast
8:30 - 9:30 CONCURRENT SESSIONS

Friday
10 December
8:30–9:30

Beginner
Track

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Five Maturity Models, Five Business Success Stories
Gwen Thomas, President, The Data Governance Institute

Besides addressing specific data problems, every Data Governance program is expected to improve its organization's capabilities. Learn how five organizations used Data Governance Maturity Models in five different ways to measure what was important to their leadership:
  1. Data Governance applied to specific databases subject to compliance requirements
  2. Data Governance applied to specific master data across the enterprise
  3. Data Governance embedded into data management roles and responsibilities, in preparation for a re-org
  4. Data Governance applied to data flows feeding reports shared with potential investors
  5. Data Governance program maturity levels required for silo-level, enterprise-level, and multiprise-level business processes.

Attendees will be provided with Maturity Models and measurement criteria to take back to their own organizations.

Speaker:
Gwen Thomas

Gwen Thomas
President
The Data Governance Institute


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Friday
10 December
8:30–9:30

Intermediate and Advanced
Track

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Sustainable Data Governance - Maintaining Relevancy and Interest Over Time
Kira Chuchom, Enterprise Data Quality and Data Governance, Cisco

Now that the “hard” part of building your Data Governance program is done, you are coasting on a Data Governance “high”. Your Data Stewardship community is thriving Your business and IT partners are finally collaborating and working together superbly. All signs point to Data Governance bliss.

Six months to a year later, somehow you are now facing any (or all) of the following:
  • Low meeting attendance on Data Governance councils/boards
  • Reduced participation in stewardship forums
  • Lack of motivation on the part of your stakeholders
  • Impact of Organizational changes
  • Budgetary issues

How do you keep Data Governance viable long term ? This presentation shares some tips and techniques that can be leveraged along your Data Governance journey.

2010 DG Best Practice Award Submission

Speaker:
Kira Chuchom

Kira Chuchom
Enterprise Data Quality and Data Governance
Cisco


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Friday
10 December
8:30–9:30

Data Governance
in Practice

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Communicating Data Governance (Before and After)
Peter Aiken, Founder, Data Blueprint

Two factors combine to increase the requirement for a clear and articulate communications plan.  First, while data governance isn't a new concern for organizations, many parties are newly exposed to the needs for data governance and the consequences of poor data governance.  As a consequence of this newness and wider potential audience there are not many models on which to base data governance communication plans.  Second, most prior discussion has focused on technical aspects of data government.  This talk will focus what is a DG Com Plan, when specifics are required, where to get certain information, and how to develop and implement the plan.  It will also cover the various audiences, message/actions pairs, communication apparati, risk topics, and roles required to communicate data governance both before and after implementation.
Speaker:
Peter Aiken

Peter Aiken
Founder
Data Blueprint

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9:30 - 9:40 BREAK
9:40 - 10:40 CONCURRENT SESSIONS

Friday
10 December
9:40–10:40

Beginner
Track

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How to Define and Implement Effective Data Ownership  
Steven Zagoudis, CEO, MetaGovernance Inc.

This session provides a practical understanding of data ownership and the roles and responsibilities of data owners, data stewards, data consumers, and data custodians in implementing effective Data Governance.

It offers no-nonsense fundamentals that participants can immediately implement when returning from the conference. The material guides them how to determine the true data owners and break through the roadblocks to starting effective data governance.

Data ownership is at the root of any effective Data Governance program. Yet why does the concept still remain so elusive to many organizations? This session focuses on proven techniques to clearly define data ownership and to incorporate the aspects of data ownership towards restoring a fundamental trust in your corporate data assets. Based on case studies in healthcare and finance, you will learn to use effective Data Governance principals to remove the shroud of mystery around data ownership and the implications on risk reduction, operational efficiency and financial reporting. This session integrates the concepts of “navigating to the future” and a four-tier governance achievement model to define a comprehensive change management strategy. You will have the understanding and techniques to develop a workable roadmap to implement effective Data Governance within your organization.

During this session you will learn governance fundamental such as:

  • Why data ownership is at the core of any effective Data Governance effort.
  • How to determine data ownership across your organization
  • How to distinguish data ownership, data stewardship, data custodians, and data consumers?
  • Understanding data ownership in the context of operational Data Governance, implementation of core transactional systems, and implementation of Data Warehouses or Business Intelligence applications.
  • What are the roles and responsibilities of data owners, data stewards, data consumers and data custodians?
  • Using change management to achieve buy-in for data ownership across your organization.
Speaker:
Steven Zagoudis

Steven Zagoudis
CEO
MetaGovernance Inc.

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Friday
10 December
9:40–10:40

Intermediate and Advanced
Track

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TBD


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Friday
10 December
9:40–10:40

Data Governance
in Practice

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Implementing an Enterprise Data Management Scorecard
Hope Johansen, Senior Business Analyst, Schlumberger
Greg Wibben, Master Data Project Manager, Schlumberger

Our master data governance program combines published master data policies with a data management scorecard that measures the conformance of data to business expectations. Driven by the idea that only data measures that are relevant to current business concerns will inspire action by the data stewards, our approach combines business process evaluation with data requirements assessment to provide data quality metrics. The metrics are presented in the form of a data management scorecard that easily allows business owners to view trends of observance to data expectations and concentrate on issues that negatively impact the business. Data stewards use the scorecard to drill down to record-level data problems for root cause analysis and problem remediation. Senior business users focus on trends, graphs, and KPIs to monitor data quality status and identify potential problems before they become full blown business issues. The scorecard's usefulness has been proven by the improvements in business performance that have resulted from targeted data governance.

Attendees will learn to implement an enterprise data quality scorecard by:
  • Conducting a business process assessment to identify issues impacting the business
  • Implementing an automated process for executing data compliance measures
  • Establishing targets and KPIs
  • Creating a meaningful reporting structure to present the scorecard
  • Encouraging and facilitating the business to address data issues in order to improve their overall scores and business performance
Speakers:
Hope Johansen

Hope Johansen
Senior Business Analyst
Schlumberger

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Greg Wibben

Greg Wibben
Master Data Project Manager
Schlumberger

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arrow10:40 - 11:10 BREAK AND EXHIBITS
arrow11:10 - 12:10 KEYNOTE

Friday
10 December
11:10 - 12:10

KEYNOTE

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Lessons Learned in Data Governance 
Moderator: Len Silverston, President, Universal Data Models
Panelists:
Corey Cashmere, Manager Data Governance, ConAgra Foods
Pablo Riboldi, Information Governance Manager, LDS Church
Kira Chuchom, Enterprise Data Quality and Data Governance, Cisco

This panel discussion will focus on real life experiences and challenges encountered by practitioners in starting and deploying data governance, data stewardship and information quality programs.

Topics include:

  • Getting started with data governance and stewardship
  • Dealing with political and cultural issues
  • Pitfalls to avoid
  • Sustaining data governance programs
Moderator:
Len Silverston

Len Silverston
President
Universal Data Models

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Panelists:
Corey Cashmere

Corey Cashmere
Manager Data Governance
ConAgra Foods

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Pablo Riboldi Pablo Riboldi
Information Governance Manager
LDS Church

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Kira Chuchom Kira Chuchom
Enterprise Data Quality and Data Governance
Cisco

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arrow12:10 - 1:50 LUNCH AND EXHIBITS
1:30 - 4:45 Afternoon Workshops

Friday
10 December
1:30–4:45

Beginner
Track

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WORKSHOP: Data Governance Case Study Extravaganza - The Good, The Bad and The Ugly
Robert S. Seiner, President and Publisher, KIK Consulting & Educational Services and TDAN.com

Come one come all to the first ever Data Governance Conference Case Study Extravaganza. Come to this session equipped with your own personal (organization) case study and be prepared to compare and contrast your successes and difficulties with examples provided by other attendees and the facilitator, Bob Seiner.

This interactive workshop will focus on the good, the bad and the ugly of data governance implementations. Seiner will share examples of internally developed tools and templates that organizations have used to implement successful programs. Expect lively conversation around industry best practices, practices that have worked (and why) and practices that have fallen short (and why). The session will accentuate the positive while discussing and addressing opportunities to improve.

The emphasis of this session will be on sharing ideas (Bob’s and yours) around:
  • Defining short, mid and long term steps to success
  • Defining and implementing best practices
  •  Addressing issues that are inherent in all Data Governance implementations
  • Sharing tools, templates and experiences in implementing programs
  • Sharing examples of implementations that guarantees that you will walk away with lots of ideas
Speaker:
Robert S. Seiner

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

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Friday
10 December
1:30–4:45

Intermediate and Advanced
Track

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WORKSHOP: Practical Steps to Improve, Revive, and/or Energize your Data Governance Program
Pablo Riboldi, Information Governance Manager, LDS Church

Starting a Data Governance program is one thing, but establishing one in a sustainable manner until it becomes part of your enterprise’s culture requires a different effort altogether. To accomplish this it is essential to base your program on proven principles and practices.

In this tutorial you will learn and apply these principles and practices of data governance to improve your program and give you to the tools to make it an integral part of your enterprise. This is relevant, useful, and practical.

After years of working in the implementation of Data Governance at my organization, I have experienced what are the principles and practices that guide this work. We will share these (along with stories, templates, tools) in a very candid, open way so you may learn from our collective experiences.

In this hands-on tutorial you will learn and apply practical principles of data governance to improve your program.

After this tutorial you will have:

  • Identified your long-term program’s drivers,
  • Review your program’s strategies and guiding principles,
  • Build a plan for using these drivers, strategies, and principles to improve your program,
  • Start a plan for better marketing the Data Governance program in your organization

Come ready to learn, laugh, and work. You will leave with the tools and plans to make your Data Governance program better and a successful part of your company’s culture.

2010 DG Best Practice Award Submission

Speaker:
Pablo Riboldi Pablo Riboldi
Information Governance Manager
LDS Church

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Friday
10 December
1:30–4:45

Data Governance
in Practice

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WORKSHOP: Governing with Real Power: Developing Win-Win Relationships in Data Governance
Len Silverston, President, Universal Data Models

One of the most important aspects of any data governance effort is how we develop effective relationships and work together towards our objectives. There are proven principles, techniques and tools that other organizations have used to develop positive powerful relationships in data governance so why not learn, practice, use and ultimately master them?

This seminar will share principles, tools, and techniques to empower participants in developing win-win relationships and moving toward effective data governance. The instructor will share various insights, showing pitfalls of where data governance efforts can and have gone off course as well as sharing keys to successful data governance efforts. There will be interactive exercises where participants can practice handling difficult issues that commonly arise by applying these relationships principles and tools that lead to effective data governance.

Participants of this session will gain:
  • An understanding of some of the most important human dynamics that either make or break data governance efforts
  • Tools, principles and techniques to enable data governance such as keys in understanding motivations, facilitating a common vision, developing trust, and managing conflict
  • Stories of how relationships were handled that either killed or fostered data governance
  • Exercises allowing participants to practice overcoming challenges that data governance professionals often face.
  • Education and experience in preparing for these challenges as well as applying powerful techniques for developing more effective environments, in this non threatening, classroom setting

This session is critical to data governance professionals – relationship dynamics are often overlooked and they have been proven to be a key to success in data governance.

Speaker:
Len Silverston

Len Silverston
President
Universal Data Models

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