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About the Webinar
The first step towards 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 out 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 in support of your business strategy
- Discuss foundational Metadata concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
- Enumerate guiding principles for and lessons previously learned from Metadata and its practical uses
About the Speaker
Peter Aiken
Founding Director, Data Blueprint
Peter Aiken is acknowledged to be a top Data Management (DM) authority. As a practicing data consultant, author, and researcher, he has been actively performing and studying DM for more than 30 years. His expertise has been sought by some of the world’s most important organizations and his achievements have been recognized internationally. He has held leadership positions and consulted with more than 75 organizations in 21 countries across numerous industries, including defense, banking, healthcare, telecommunications, and manufacturing. He is a sought-after keynote speaker and author of multiple publications, including his latest, “The Case for the Chief Data Officer” and “Monetizing Data Management.” Peter is the Founding Director of Data Blueprint, a consulting firm that helps organizations leverage data for competitive advantage and operational efficiencies. He is also Associate Professor of Information Systems at Virginia Commonwealth University (VCU) and past President of the International Data Management Association (DAMA-I).
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