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Data governance roundtable: Practitioners give program and best practices advice (podcast)

14 Feb 2008 | SearchDataManagement.com

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Implementing data governance programs can be incredibly challenging, according to practitioners. Developing the processes and policies for managing corporate data assets is a major project that's often easier said than done, fraught with technology, cultural and political hurdles. That's why advice from other data governance practitioners is especially helpful for navigating this notoriously tricky topic. So, SearchDataManagement.com talked to professionals from three organizations that successfully implemented data governance and data quality management programs. We asked panelists to share their success stories, challenges, best practices and advice.

Each of the panelists had unique goals and situations to consider when designing and implementing their data governance programs:

  • Mark Allen, senior program manager with Santa Clara, Calif.-based Sun Microsystems, focuses on business support, quality management, integrity and enterprise-wide policies and standards related to all of Sun's customer data, which amounts to millions of records. He helped develop and lead a phased migration of all of Sun's legacy customer identity information into one integrated registry and data model.
  • Patrick Pelley, principal analyst, information quality with Detroit-based DTE Energy, helped update the companies' data management infrastructure and processes after a string of mergers and acquisitions left DTE Energy with many disparate systems, without a single, consistent view of business data. He's been a key leader in a major project to standardize data from multiple ERP systems onto a single SAP application.
  • Gary Rosteck, manager of data quality with Southfield, Mich.-based R.L. Polk, was a data architect and project manager during a corporate initiative that created a real-time data processing architecture, a new "enterprise information factory" and the associated data governance processes. The company successfully implemented a data quality engine that enables it to expose business rules for data quality via a service-oriented architecture. This ensures that data integrated from hundreds of sources meet corporate quality standards.

In this 36-minute podcast, appropriate for both business and IT professionals, listeners will get valuable advice from practitioners with hands-on experience implementing data governance and data quality programs.

  Download the data governance practitioner roundtable  

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Data governance roundtable: Practitioners give program and best practices advice
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Practitioners discuss their data governance programs, share best practices and offer advice. Get peer advice for implementing successful data governance and data quality programs.

This is a large MP3 file (33 MB) and may be easier to listen to downloaded directly to your PC, rather than streamed online. To save the audio file locally, right click the link above and choose "Save Target As." To listen online, click the link above and please wait a few minutes while the file loads in a seperate window.

  Data governance roundtable program highlights 

00:20 Find out more about successful data governance projects and learn the panelists' backgrounds and responsibilities

11:00 Hear how data governance is structured and managed at each organization -- and learn how long its taken them to implement a successful program

17:54 Learn how business rules are developed, collected and managed at each of the companies

21:18 Find out how the organizations built a business case for their programs and justified the costs involved with data quality and data governance

24:50 Get more background on the greatest challenges the panelists encountered when implementing data governance

28:25 Listen to the panelists' advice and best practices, learned through developing and managing these programs

31:44 Learn the results of these data governance programs -- and find out what metrics the panelists are using to measure success

  For more on data governance 

Find out how to get started with data governance from expert Jill Dyché

Read why Gartner predicts that 90% of data governance programs will fail -- and get advice for building a structure that will be successful

Check out an article about how Blue Cross Blue Shield handles data governance

Get the top five data governance headline from SearchDataManagement.com

Learn more in the SearchDataManagement.com data quality and data governance tutorial

Email the editorial team with suggestions and requests for data governance articles, podcasts and resources

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