Data Driven

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

This is Part 1 of 2 from my recent discussion with Tom Redman.  In this episode, Tom and I discuss concepts from one of my favorite data quality books, which is his most recent book: Data Driven: Profiting from Your Most Important Business Asset.

Our discussion includes viewing data as an asset, an organization’s hierarchy of data needs, a simple model for culture change, and attempting to achieve the “single version of the truth” being marketed as a goal of master data management (MDM).

Dr. Thomas C. Redman (the “Data Doc”) is an innovator, advisor, and teacher.  He was first to extend quality principles to data and information in the late 80s.  Since then he has crystallized a body of tools, techniques, roadmaps and organizational insights that help organizations make order-of-magnitude improvements.

More recently Tom has developed keen insights into the nature of data and formulated the first comprehensive approach to “putting data to work.”  Taken together, these enable organizations to treat data as assets of virtually unlimited potential.

Tom has personally helped dozens of leaders and organizations better understand data and data quality and start their data programs.  He is a sought-after lecturer and the author of dozens of papers and four books.

Prior to forming Navesink Consulting Group in 1996, Tom conceived the Data Quality Lab at AT&T Bell Laboratories in 1987 and led it until 1995. Tom holds a Ph.D. in statistics from Florida State University.  He holds two patents.


Data Driven

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Win a copy of the Book

Tom Redman wants to give one OCDQ Radio listener a free copy of Data Driven: Profiting from Your Most Important Business Asset

Here is how the book contest will work:

(1) Book Contest Question — Name at least one of the five aspects of the hierarchy of data and information needs that was described by Tom Redman during this OCDQ Radio episode.


(2) Book Contest Deadline — By or before March 31, 2012, Email Jim Harris with your answer to the book contest question.


(3) Book Contest Winner — In April 2012, one winner will be randomly selected from the emails containing the correct answer to the contest question, and Tom Redman (or his publisher) will email the winner requesting a shipping address for the book.



Related Posts

A Farscape Analogy for Data Quality

The Data Quality Wager

DQ-View: Data Is as Data Does

Common Change

DQ-View: Talking about Data

Hailing Frequencies Open

Beyond a “Single Version of the Truth”

DQ-Tip: “Don't pass bad data on to the next person...”

Hyperactive Data Quality (Second Edition)

Data Quality: Quo Vadimus?

Data Quality and Miracle Exceptions


Related OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

  • Organizing for Data Quality — Guest Tom Redman (aka the “Data Doc”) discusses how your organization should approach data quality, including his call to action for your role in the data revolution.
  • The Johari Window of Data Quality — Guest Martin Doyle discusses helping people better understand their data and assess its business impacts, not just the negative impacts of bad data quality, but also the positive impacts of good data quality.
  • Studying Data Quality — Guest Gordon Hamilton discusses the key concepts from recommended data quality books, including those which he has implemented in his career as a data quality practitioner.