Essential Metadata Strategies

DATE: October 13, 2020

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Webinar

The first step towards understanding data assets impact on your organization is understanding what those assets mean for each other. Metadata – literally, data about data – is a practice area required by good systems development, and yet is also perhaps the most mislabeled and misunderstood Data Management practice. Understanding metadata and its associated technologies as more than just straightforward technological tools can provide powerful insight into the efficiency of organizational practices and enable you to combine practices into sophisticated techniques supporting larger and more complex business initiatives. Program learning objectives include:

  • Understanding how to leverage metadata practices in support of business strategy
  • Discussing foundational metadata concepts
  • Exploring guiding principles for and lessons previously learned from metadata and its practical uses applied strategy

About the Speaker

Peter Aiken, PhD
Professor of Information Systems, VCU and Founder, Anything Awesome

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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 dataversity.net). 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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