December 5, 2012 – Big data means much more than technology or hoopla, says noted data quality expert Thomas C. Redman. The best, successful big data projects should be about getting quality enterprise information to the appropriate end users and letting managers make business-minded moves based on the results.
Redman, president of Navesink Consulting Group and author, led a discussion Wednesday entitled “Organizational Imperatives in the Era of Big Data.” It was hosted by the Harvard Business Review and sponsored by Hitachi Data Systems. As a basis for the insights presented, Redman dialed into his past in establishing applied research programs on data quality at AT&T as well as his ongoing work in establishing enterprise data management programs and practices as an outside consultant.
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