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Implementing Data Governance through Project Methodology - David Plotkin
November 08, 2011
6:00 PM - 9:00 PM (PST)
Best Western Executive Inn - 200 Taylor Ave N, Seattle
Member dinner meeting registration – $25.00
Includes keynote presentation, dinner and materials. Current DAMA-PS membership required.
Non-member dinner meeting registration – $40.00
Includes keynote presentation, dinner and materials. Discounts available for DAMA-PS members.
Presentation only – $10.00
Includes keynote presentation and materials.
Registration is closed
Data Governance Project Methodology Presentation Seattle DAMA.pdf
Implementing Data Governance through Project Methodology
When it comes to Data Governance, it seems like a good idea to integrate the whole process – including metadata and data quality – into any project that handles data. To do so, you need to add milestones, tasks, artifacts (such as forms that need to be filled out) to the project plan, ensuring that all these items find their home in the correct stage of the project. But what do these items look like, and where is the proper place to put them in the project methodology. And how do you establish responsibility and staff a project with the necessary skill set to make sure everything gets delivered. This presentation answers these questions, discusses the logistics of maintaining the Data Governance artifacts, and provides detailed examples of the forms needed.
You will learn:
The stages of a project that need data governance
The forms needed (with examples) to execute on the proper plan
How to convince project management that data governance on a project is a good idea and work expending resources (and expanding the timeline!) for
How to review the results and ensure that they meet your standards
is a Data Quality Manager for Bank of America in the Finance department. He is responsible for working with business data owners to improve data quality, report the quality of key business elements via a scorecard, and institute data governance to manage data. He has previously managed Data Governance at an insurance company and managed data quality at another large bank. He has been working with data governance, data modeling, metadata and data quality for over 15 years. He is a popular speaker at DAMA chapters and conferences, and serves as a subject matter expert on many topics around metadata, data governance, and data quality.
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