Data quality techniques and best practices
- January 24, 2007
Data quality tools and processes have changed dramatically, so keep up with the latest data quality trends. Renowned expert Larry English provides timely advice for your data quality strategy.
- January 16, 2007
We asked three experts on enterprise data management trends to give us their predictions for 2007. Each has a different perspectives on the industry.
- December 18, 2006
Manually verifying data accuracy is bound to introduce errors. Therefore, sampling can be used to derive some conclusions about a large body of information by selecting a smaller number of instances for the purposes of inferencing.
- October 11, 2006
Intellidyn houses a huge consumer information repository, and must match and update millions of records quickly. It had a lot to consider when upgrading its data quality system.
- September 21, 2006
Will CRM transform your organization to be the business equivalent of Angelina Jolie?
- September 21, 2006
Data confidence, a critical management success factor, is not automatic. How do you attain it?
- June 29, 2006
What are the reasons for archiving data that is likely to never be needed again?
- May 10, 2006
Proactive process improvement is the heart of a sound quality environment.
- April 19, 2006
Companies should move data quality controls "upstream" to save money, retain customers, and mitigate clean-up efforts, one expert says.
- April 09, 2006
This SearchDataManagement.com special report helps you better manage and leverage your company's data.
- December 22, 2005
Nortel Networks is streamlining its data sources and installing SAP's master data management middleware. But SAP MDM lacks functionality, and customers need third-party tools to meet typical MDM requirements, analyst says.
- December 15, 2005
With sales, customer records, quality assurance and reporting all relying on the CRM system, one company has tied its bonus structure to data accuracy.
- December 07, 2005
As companies rush to clean up data warehouses and delete dirty data, are they losing valuable intelligence about customers?
- December 01, 2005
As a result of transaction processing, organizations have realized the importance of having a 360 degree view of the customer.
- October 12, 2005
The application of quality management principles is required for true information quality.