Data quality analysis News
October 05, 2017
At the Strata conference in New York, IT managers detailed steps they're taking to improve data quality in their big data environments in order to help ensure analytics accuracy.
February 28, 2014
In an interview, author and data quality architect Laura Sebastian-Coleman discusses steps organizations should take to improve data quality levels.
May 27, 2008
Data quality problems can't be fixed until they are identified. Learn how a data quality assessment can help pinpoint data quality problems.
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.
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Data profiling, also called data archeology, is the statistical analysis and assessment of the quality of data values within a data set for consistency, uniqueness and logic. 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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Data monetization is not monolithic. Instead, it takes several forms, according to MIT researcher Barbara Wixom. Each approach has its own unique traits. Continue Reading
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Crippled by data quality problems, U.S. companies need to find a cure fast. Accenture's Athena Reilly argues the data doctor of choice is the company's CFO. Continue Reading
Data needs to be governed, but data management teams increasingly are approaching governance in subtle ways to avoid being seen by business users as the data police. Continue Reading
Data science can be incredibly valuable if done right, but just as damaging if done wrong. Here, a data science expert discusses three common predictive modeling pitfalls. Continue Reading
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Stuart Brown discusses the opportunity that lies in data quality analysis and in defining what big data governance mean to your organization. Continue Reading
Learn about the roles of data architects when it comes to making data management project decisions. Continue Reading