Best Practices for Data Quality Improvement: Ensuring BI Success Through High-Value Data
Wednesday, 4 May 201111:30 AM – 12:30 PM
This event is available now. It will be available through 5/7/2012 (54 sessions viewable).
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Speaker: Ted Friedman
Location: Los Angeles Room
Session Type: Track Session
Data quality needs to be positioned as a business-focused discipline rather than a technology issue. Engaging the proper people, developing required skills, and establishing specific roles are fundamental for achieving substantial progress in data quality improvement. In addition, the capabilities and usage of data quality tools are evolving, creating opportunities for organizations seeking to automate data quality controls.