Post-Conference Tutorials - June 30, 2011

Thursday
30 June
7:30–8:00
Registration and Continental Breakfast
8:00 - 3:45 POST-CONFERENCE TUTORIALS

Thursday
30 June
8:00-3:45

Data Governance

 

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Our Data Governance Program is Built. Now What? An Advanced Data Governance Tutorial
Robert S. Seiner, President and Publisher, TDAN.com/ KIK Consulting & Educational Services

Due to popular demand, this presentation has been updated and will be offered in a repeat performance in June in San Diego. The term Data Governance has been around for several years now. Many organizations have either 1) established programs and are in the incremental deployment phase,
2) have started defining and putting a program in place, or are 3) planning for the effective delivery of a program. Much continues to be written and spoken about how to get a program off the ground. Yet little has been written and spoken about what to do once you have busted out of the gate and started down the path to success. Or path to wherever that path may lead.

This Advanced Data Governance Tutorial answers the question - Our Data Governance Program is Built . Now What? This tutorial with discussion led by Bob Seiner will focus on methods to effectively apply data steward roles & responsibilities in a pro-active and reactive manner past the early deployment phase and preparing a program for long-term success.

Topics to be discussed include:
  • Anticipating and Addressing Data Governance Problems
  • Addressing Breakdowns in Communication, Coordination and Cooperation
  • Dealing with Politics, Authority and Cultural Changes
  • Advancing Management's Understanding of the Value of Data Governance
  • Applying Data Governance to Assure the Success of Existing
    Initiatives
  • Sustaining an Effective Program Past Set-Up
Speaker:
Robert S. Seiner

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

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Thursday
30 June
8:00-3:45

Data Governance

 

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Building a Data Stewardship Practice from Soup to Nuts (especially the nuts)
David Plotkin,  Data Governance Manager, AAA of Northern Ca, Nevada, and Utah

More and more companies are coming to terms with the fact that they need to have a data stewardship function in order to be effective in collecting metadata (including definitions, derivations, and data quality rules), MDM, and data quality. A lot has been said and spoken about why stewardship is important, but HOW do you do it and be effective with limited resources (in the “real world”)? And what part does stewardship play in Data Governance?

This presentation answers these questions and details how to set up a data stewardship function, how to run it, the details of managing the stewardship committee, recruiting help from IT for technical stewards, what the duties of the data stewards are, and what decisions they have to make.

In addition, it covers how to staff projects for stewardship and funnel the information from projects back into the overall stewardship process.

You will learn:
  • The relationship between governance and stewardship
  • How to build a governance and stewardship organization
  • How to recruit stewards
  • What the steward’s responsibilities are
  • What the stewardship process looks like
  • How to break up responsibilities by functional area
  • Resources you can use to minimize endless meetings
  • What the decision process is
  • The use of stewards for projects
  • What and how to document decisions
Speaker:
David Plotkin

David Plotkin
Data Governance Manager
AAA of Northern Ca, Nevada, and Utah

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Thursday
30 June
8:00-3:45

IDQ

 

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Organizing for Data Quality
Thomas Redman, President, Navesink Consulting Group

Much like any other important endeavor, success in data quality depends on having the right people in the right jobs, working within a well-defined governance structure. But who, specifically, are these people and what are they supposed to do? The question is especially crucial because virtually everyone touches data in some way or other and so can compromise or improve their quality.

This workshop provides practical answers to these questions, structuring the discussion around three specific case studies that provide insights and best practices for data quality organization structure and roles and responsibilities.

Topics include:
  • The key principles in designing and building data quality teams and organizations
  •  Various roles, responsibilities and skills in data quality management
  •  Various data quality organization models, including:
    • a departmental level model
    • a data provider model
    • a fully-functioning enterprise data quality group led by a Chief Data Officer
  • The politics of data quality management
  • How to perform cost-of-poor-data-quality (COPDQ) analysis
  • How to build and deliver business case for data quality

The notion that “data are assets on par with other assets such as people and capital” is beginning to gain traction. It is a powerful notion and we’re just beginning to understand its implications, which go far beyond data quality. These implications are embedded in every aspect of this workshop.

Speaker:
Thomas Redman

Thomas Redman
President
Navesink Consulting Group

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