Data Management Strategies for the CIOPoor data quality can cost companies 15% to 25% (or more) of their operating budget, according to internationally-recognized expert Larry English, founder of Brentwood, Tenn.-based Information Impact International and developer of the Total Information Quality Management (TIQM) methodology. But the tools and methods that companies use to reduce costs associated with bad data are rapidly evolving.
SearchDataManagement caught up with English to learn how data quality processes are changing and how companies can effectively solve quality problems today. Both technology and business professionals can benefit from learning about current data quality trends in this 35-minute podcast.
- Learn why English strongly prefers the term "information quality" over "data quality" -- and how this could make or break a business case
- Hear how information quality processes are evolving and what the future of the discipline may bring
- Get timely tips and guidance for forming (or updating) an enterprise information quality strategy
- Listen to English's expert advice about how to evaluate information quality technology tools
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Data quality trends, with expert Larry English
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About the featured expert
Larry English is an internationally-recognized speaker, educator, author and consultant in
knowledge management and information quality improvement. His company, Information Impact International, provides
consulting and education for information quality and a variety of related disciplines. Larry
developed the Total Information Quality Management (TIQM) methodology applying Kaizen(r) quality
principles to information quality management. He chairs Information Quality Conferences around the
world, and conceived of and co-founded the International
Association for Information and Data Quality (IAIDQ).
Program Links:
- Gartner names data quality's top performers in Magic Quadrant
The leaders in the data quality tools market are beefing up their international offerings and focusing on real-time monitoring, according to Gartner's Magic Quadrant.
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This was first published in January 2007
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