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Oct 11 DataEd Webinar: Where Data Architecture and Data Governance Collide

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DATE: October 11, 2022

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

This webinar is sponsored by:

About the Webinar

While collide is perhaps a strong term to use to describe the key area where Data Architecture and Data Governance interact, it does provide motivation to perhaps calm the traffic and avoid further collisions. In order to harmoniously interact, architecture and governance must literally be working from the same diagram (singing from the same sheet of music). The worst time to try to accomplish this is on a short-term decision.  Better still to educate each group to the function of the other and major issues upcoming. A shared Data Literacy exercise can provide a good starting point.

Learning objectives:

  • Gaining a good understanding of both important topics, each’s relationship to the other, and what is required for each to be successful
  • Not to have the first conversation be the important one
  • Coordination is key requiring necessary interdependencies and sequencing
  • Integration challenges can be valued, assisting shared priority development

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.

This presentation is brought to you in partnership with:


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