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Apr 13 DataEd Webinar: Data Management + Data Strategy = Interoperability

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DATE: April 13, 2021 This webinar has passed. The recording will be made available On Demand within the next two US business days.

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Webinar

Few organizations operate without having to exchange data. (Many do it professionally and well!) The larger the data exchange burden (DEB), the greater the organizational overhead incurred. This death by 1,000 cuts must be factored into each organization’s calculations. Unfortunately, most organizations do not know if their organization’s DEB is great or small. A somewhat greater number of organizations have organized Data Management practices. Focusing Data Management efforts on increasing interoperability by decreasing the DEB friction is a good area to “practice.”

Learning Objectives:

  • Gaining a good understanding of both important topics
  • Understanding that data only operates at a very intricate, specifically dependent intent and what this means
  • Understand state-of-the-practice
  • Coordination is key, requiring necessary but insufficient interdependencies and sequencing
  • Practice makes perfect

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 dataversity.net). 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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