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Data profiling tools and techniques News
February 28, 2014
In an interview, author and data quality architect Laura Sebastian-Coleman discusses steps organizations should take to improve data quality levels.
September 06, 2012
Organizations are using data quality tools to support a growing range of use cases, according to a new Gartner Magic Quadrant report.
May 16, 2012
Educating end users and upgrading internal processes can help enterprises fix data quality problems without dropping a ton of cash, analysts say.
March 28, 2012
IBM customers Nationwide Insurance and Cardinal Health reveal five rules of thumb they learned while implementing highly ambitious data governance programs.
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In a book excerpt, author Laura Sebastian-Coleman explores data profiling, data issue management and using reasonability checks in assessing quality. Continue Reading
In a book excerpt, data quality architect Laura Sebastian-Coleman explains data assessment terminology and details a framework for measuring quality. Continue Reading
It might be tempting to assume that you don't have to worry about the quality of your data. But blind trust of that sort can get companies in trouble. Continue Reading
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An enterprise data architect with medical device maker SonoSite offers up details on the newest release of DataFlux’s flagship data management software platform. Continue Reading
All the reporting tools in the world mean nothing if you’re using dirty data. Learn how to select the right data quality tools and management software for your organization. Continue Reading
A major data quality software project is helping a large U.S. trucking company conserve about 3,000 gallons of gasoline per day, company officials said. Continue Reading
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When implementing an MDM initiative, businesses should take steps to incorporate effective data quality management practices from the outset. Continue Reading
Data profiling is a key part of data quality efforts. Here's a simple formula for calculating the amount of time needed to profile a data set. Continue Reading
While tools designed for data governance are helpful, organizations must also implement best practices and standard processes to be effective. Continue Reading
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Consultant David Loshin offers tips on developing a data quality strategy that can help identify data errors before they cause big business problems. Continue Reading
Find out if companies can enforce data integrity to ensure data accuracy in internal reports and systems. Plus, learn how data interpretation can affect the use of accurate data. Continue Reading
Data quality management is critical for effective enterprise data integration (EDI). Expert Rick Sherman shares five strategic steps (and potential pitfalls) of data quality management. Continue Reading