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Data quality management software News
March 10, 2017
Businesses constantly need to evolve their programs for governing data. Nationwide's finance data governance team shares how it stepped up data governance strategy and processes.
February 28, 2014
In an interview, author and data quality architect Laura Sebastian-Coleman discusses steps organizations should take to improve data quality levels.
August 28, 2013
The 2013 Gartner Magic Quadrant for Data Integration Tools focuses on the growing demand for products that combine integration and other capabilities.
June 04, 2013
In a Q&A, consultant and author Peter Aiken explains why companies should put a C-level exec in charge of managing their data as a strategic asset.
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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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This buyer's guide provides insights to help you determine if your organization could benefit from data governance software and how to navigate the buying process. Continue Reading
The Diaku Axon data governance platform is designed to assist financial institutions as well as other industries with complex regulatory compliance environments. Continue Reading
Expert John Ladley examines the leading data governance software products, comparing and contrasting their features to help you determine which tool will best meet your needs. Continue Reading
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The crush of big data leads some data pros to seek more automation of data integration processes. The Pentaho software platform now offers metadata injection capabilities to help meet such needs. Continue Reading
This guide offers insight on data quality management issues and best-practices advice on planning and implementing a data quality improvement program. 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
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While tools designed for data governance are helpful, organizations must also implement best practices and standard processes to be effective. Continue Reading
In the past, companies might have gotten away with not building data quality efforts into business intelligence programs. That's less likely now. Continue Reading
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