Dr. Thomas C. Redman, “the Data Doc,” is President of Navesink Consulting Group. He helps leaders and organizations craft programs to get in front on data quality, learn to compete with data, and build the capabilities to do so.
His most recent article, “Data’s Credibility Problem,” appeared in the December 2013 issue of Harvard Business Review and his fourth book, Data Driven: Profiting from Your Most Important Business Asset, Harvard Business Press was a Library Journal Best Business Book of 2008. Prior to forming Navesink, in 1996, Tom started and led the Data Quality Lab at Bell Labs. He holds two patents.
His most recent book Getting In Front on Data: The Who Does What (Technics Publications, 2016) has just been published.
DQPVS1: Getting in Front of Data Quality
This fast-paced presentation crystallizes what it takes to improve data quality. The unfortunate reality is most data quality efforts fail. But those who approach the opportunity properly, put the right people in place, and use proven methods, can produce great results, relatively quickly and easily.
This presentation covers:
- Approach: Why eliminating the root causes of error is the only way to go.
- What You Need to Do: Including understanding customer needs, measurement, control, and improvement.
- Who Does the Work: An important first step involves getting responsibility for data out of IT. And everyone who touches data has a role to play!
- Why: Bad data have always cost time and money. Lots of both. Today, as organizations seek to leverage big data and become data-driven, the costs are even greater. But subtle.
- Culture: Every manager can improve data quality within his or her span of influence. Leadership is decisive.