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Data quality management and governance 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.
July 31, 2017
Growing use of artificial intelligence tools by businesses was the focal point of analytics and data management trends predicted by a group of IT consultants and vendor execs.
July 24, 2017
In many organizations, chief data officer jobs centered on defense against risk are giving way to ones emphasizing innovation. To do so, CDOs must nurture a data culture, MIT panelists said.
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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
The data life cycle is the sequence of stages that a particular unit of data goes through from its initial generation or capture to its eventual archival and/or deletion at the end of its useful life. Continue Reading
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Machine learning algorithms may change computing, but they're a bit of a black box. Still, there are ways to tame them with flexible data governance, according to tech startup exec Andrew Burt. Continue Reading
In this video, Aldo's David Dadoun discusses why people and processes are more important than technology in the company's data governance program. Continue Reading
As companies distribute data across various platforms, they may need to pay more attention to securing it in databases and other repositories where security is far from baked in. 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
In some regards, the term big data management can be viewed as an oxymoron. In fact, oxymorons abound in this industry and society -- virtual reality, artificial intelligence, science fiction and awfully good, the ... Continue Reading
Companies are using big data systems, deep learning and machine learning techniques to drive software advances. To go even further, their data management systems must also evolve. Continue Reading
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Real-time big data analytics calls for changes in the way data systems are built. Some of the pressing challenges are discussed in this edition of the Talking Data podcast. Continue Reading
A DevOps approach could warrant a front-end and a back-end database administrator. Continue Reading
Companies in all industries can benefit from a master data management program, advises MDM expert Anne Marie Smith. Learn how to enhance yours. Continue Reading