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Webinar Status


Date & Time

01/26/2023 12:00 pm

Time Zone

Central US Time (GMT -5)

What You'll Learn


  1. Tom, you’ve been saying that data programs need regular people to be involved for some time now. Why is that?
  2. You’ve also been talking about “the data generation?” Can you explain that term and what it means for organizations?
  3. A lot of people in the data community have called out literacy as a necessary skill. But what you’re talking about goes way beyond literacy. Why is “data literacy” not enough?
  4. What you’re talking about will have enormous implications throughout any organization. How about people with “data” in their titles?

Webinar Overview

“Regular people,” those without data in their titles, are essential contributors to every data science, quality, architecture, governance, or monetization effort. This signals enormous opportunity both for them and for companies that engage them. During this fireside chat, Dr. Thomas Redman and Anne Marie Smith will discuss these opportunites and outline some implications for people with “data” in their titles. Additional questions from the audience will support this lively discussion.

About The Speaker

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Anne Marie Smith, Ph.D.

Data Management Consultant & Educator,

Anne Marie Smith, Ph.D. is an internationally recognized expert in the fields of enterprise data management, data governance, data strategy, enterprise data architecture and data warehousing. Dr. Smith is a consultant and educator with over 30 years’ experience. Author of numerous articles and Fellow of the Insurance Data Management Association (FIDM), and a Fellow of the Institute for Information Management (IIM), Dr. Smith is also a well-known speaker in her areas of expertise at conferences and symposia.

Dr. Thomas C. Redman

Thomas C. Redman

President of Navesink Consulting Group,

Thomas C. Redman, “the Data Doc” is president of Navesink Consulting Group. His practices help companies improve data quality. He was first to understand the fundamental importance of data and data quality, understand fundamental properties of data in organizations, and first to give meaning to the phrase “manage data assets.”  Tom received the an award for his work in data quality and DQM.

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