| Share this Session: |
|
Thomas Redman The Data Doc Data Quality Solutions |
|
Wednesday, April 20, 2016
While quality data has always been important, it only grows increasingly so as companies use more data in more ways. Yet too many data quality programs don’t get the job done, increasing cost, compromising decisions, and making it more difficult to advance a longer-term data agenda. This talk summarizes what it takes to get in front on data quality, with getting the right people involved.
Tom Redman, the “Data Doc," helps companies, including many of the Fortune 100, improve data quality. Those that follow his innovative approaches enjoy the many benefits of far better data, including far lower costs. His recent article, “Data's Credibility Problem," (Harvard Business Review, December 2013) showcases what's possible. Tom's "Data Driven: Profiting from Your Most Important Business Asset" (Harvard Business Press, 2008) is the guiding light for companies seeking to build their futures in data. Tom started his career at Bell Labs, where he led the Data Quality Lab. He has a Ph.D. in Statistics and two patents.
|
|||||||
