Data-Ed Webinar: The Importance of Metadata – 3 Leveraging Strategies

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About the Webinar

The first step towards improving data asset value is mastering organizational data leveraging capabilities. Improving your metadata practices effectively focuses on data-leveraging strategies:

  1. To best understand data value, realize that metadata is a gerund – do not treat it as a noun
  2. Practice the concept that metadata is the language of Data Governance
  3. Treat glossaries/repositories as capabilities – not technology
  4. Build metadata practices from existing starter kits/building blocks

Metadata – literally, data about data – is a practice area required by all organizations.  Understanding metadata and its associated technologies as more than just straightforward tools can provide powerful insight into the efficiency of organizational practices and enable you to combine them into sophisticated techniques supporting larger and more complex business initiatives more effectively. Program learning objectives include:

  • Applying foundational metadata concepts
  • Understanding how to leverage metadata practices in support of business strategy
  • Approaching metadata technology investments cautiously

About the Speaker

Peter Aiken, PhD

Professor of Information Systems, VCU and Founder, Anything Awesome

Peter Aiken, an acknowledged Data Management (DM) authority, is an Associate Professor at Virginia Commonwealth University, past President of DAMA International, and Associate Director of the MIT International Society of Chief Data Officers. For more than 35 years, Peter has learned from working with hundreds of Data Management practices in 30 countries. Among his 10 books are the first on CDOs (the case for data leadership), the first describing the use of monetization data for profit/good, and the first on modern strategic data thinking. International recognition has resulted in an intensive schedule of events worldwide. Peter also hosts the longest-running DM webinar series (hosted by From 1999 (before Google, before data was big, and before Data Science), he founded Data Blueprint, a consulting firm that helped more than 150 organizations leverage data for profit, improvement, competitive advantage, and operational efficiencies. His latest venture is Anything Awesome.

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