DataEd Slides: Metadata Strategies

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Original Air Date: November 12, 2019

This webinar is sponsored by:

About the Webinar

The first step toward understanding what data assets mean for your organization is understanding what those assets mean for each other. Metadata—literally, data about data—is one of many Data Management disciplines inherent in good systems development and is perhaps the most mislabeled and misunderstood of the lot. Understanding metadata and its associated technologies as more than just straightforward technological tools can provide powerful insight into the efficiency of organizational practices and can also enable you to combine more sophisticated Data Management techniques in support of larger and more complex business initiatives.

In this webinar, we will:

  • Illustrate how to leverage Metadata Management in support of your business strategy
  • Discuss foundational metadata concepts based on the DAMA Guide to Data Management Book of Knowledge (DAMA DMBOK)
  • Enumerate guiding principles for and lessons previously learned from metadata and its practical uses

About the Speaker

Peter AikenFounding Director, Data Blueprint

Peter Aiken is an acknowledged Data Management (DM) authority. As a practicing data consultant, professor, author, and researcher, he has studied DM for more than 30 years. International recognition has come from assisting more than 150 organizations in 30 countries. He is a dynamic presence at events and author of 10 books and multiple publications, including his latest on Data Strategy. Peter also hosts the longest running webinar series dedicated to DM (hosted by In 1999, he founded Data Blueprint, a consulting firm that helps organizations leverage data for profit, improvement, competitive advantage, and operational efficiencies.  He is also Associate Professor of Information Systems at Virginia Commonwealth University (VCU), past President of the International Data Management Association (DAMA-I), and Associate Director of the MIT International Society of Chief Data Officers.

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