Data quality techniques and best practices
- April 18, 2008
Informatica agrees to buy Nokia subsidiary Identity Systems for $85 million.
- March 05, 2008
Enterprise information management demands more than the status quo.
- January 31, 2008
While no one argues against data quality, getting it clean is another story.
- December 04, 2007
Data migration processes are slowly evolving from hand-coded scripts toward packaged applications. Find out why more companies are using tools for data migration.
- September 20, 2007
Carried to an extreme, quality can be a real enemy to progress.
- August 14, 2007
LoanPerformance learned how automated data profiling can improve productivity when it began evaluating ETL tools.
- July 11, 2007
Gartner's Magic Quadrant for data quality management software lists many new vendors and trends.
- June 21, 2007
This article considers two challenging aspects of enterprise information management: key data entity ownership and data quality management.
- June 01, 2007
Expert Larry English discusses how to develop and maintain a data quality management strategy. Learn how to get started, structure teams, calculate ROI and get executive support.
- May 09, 2007
"Applying the four rules of ""quality by design"" to your data movement will lead to a more effective, less costly and more durable information environment with a higher level of information quality and customer satisfaction."
- April 05, 2007
Exclusive on-site interviews with speakers and attendees at the annual Data Management Association (DAMA) conference reveal emerging data management trends and hot topics in this podcast.
- February 15, 2007
A change in the traditional approach to data ownership, governance and quality is necessary.
- February 14, 2007
What is customer data integration?
- January 25, 2007
Organizations and employees that keep their data to themselves are increasingly being called on the carpet. Here's what you can do to help your corporate data deliver value to a wider audience.
- January 24, 2007
When a company can depend on its data, the benefits are felt throughout the enterprise, as well as by customers, partners and suppliers.