Vicki P. Raeburn
Vicki P. Raeburn is president of Scofield Ridge Associates, Inc., a business consultancy focused on data governance and data quality.She has nearly 30 years of leadership experience in the information industry, where she has held positions in global business and product development, marketing, and data operations. Most recently, Raeburn was chief quality officer at Dun & Bradstreet, consulting with customers on the successful implementation of customer information solutions. She has a B.A. from New College of Florida and a Ph.D. from Yale University. She may be reached at vicki@scoridge.com.
Recent Stories From this Author
Understanding the Cost-Benefit Quality Curve
November 6, 2008 Set realistic expectations for the delivery of useful knowledge, not perfect information
Solving from the Top of the Transformation Chain, Part 2
September 22, 2008 If you want to determine your largest customers and understand how they interact with your company, start with the source data,...
Solving from the Top of the Transformation Chain
August 21, 2008 Data quality enhancement projects and data integration projects will achieve success faster if you start remediation at the...
Delivering Data Quality: The Executive Sponsor
June 20, 2008 It is unlikely that the people working on central entity data systems can achieve compliance to new data quality standards...
Talking with Your Business Partners about Data Quality
May 20, 2008 The description “bad data,” or something more emotional, is simply too general to be valuable.
Five Keys to Data Quality
March 18, 2008 There is still a significant human element to the overall quality of your data.
Optimizing Entity Data Quality, Part 2
February 21, 2008 Successful data quality management is a process of aligning your areas of focus for data quality enhancements with the...
Optimizing Entity Data Quality, Part 1
January 17, 2008 üUndertaking a project to rationalize, cleanse and maintain entity data across an enterprise can be a daunting prospect. My...
Set Achievable Customer Data Quality Goals
January 2, 2008 This column focuses on why you must have people, processes and technology to continuously advance on the data quality front.
Why Good Data Goes Bad
December 13, 2007 Creating high quality customer data by establishing the right data governance processes
