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Data quality management software 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.
September 06, 2017
Breitburn Energy Partners employed data quality tools to address the business pain of bad data, using the software to give end users the means to fix data quality issues themselves.
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.
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High-quality data is a must for analytics applications. That's driving more demand for data quality tools, but quality initiatives are still maturing in many companies. Continue Reading
Data governance (DG) is the overall management of the availability, usability, integrity and security of data used in an enterprise. A sound data governance program includes a governing body or council, a defined set of procedures and a plan to ... Continue Reading
There are several different types of data governance software, and choosing the right product -- or products -- involves business considerations in addition to technology ones. 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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To help make big data analytics applications more effective, IT teams need to augment conventional data quality processes with measures aimed at improving the usability of data. Continue Reading
When it comes to governance of business intelligence data, the private sector can learn valuable lessons from the public sector's data management practices. Continue Reading
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
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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
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