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Data quality techniques and best practices 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.
February 03, 2017
The head of Kaiser Permanente's data governance program says data stewards hold the key to the initiative's success, and he offers advice on managing data stewardship processes.
July 15, 2016
Forces at work in data management have led to the advent of the chief data officer. The role of the CDO and more is discussed in a Q&A with consultant Joe Caserta.
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As companies add machine learning applications, they need to really understand -- and be able to improve -- their data. That's where data quality initiatives come in. Continue Reading
Data quality is a perception or an assessment of data's fitness to serve its purpose in a given context. Continue Reading
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
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Data catalogs serve as data portals for self-service business analytics users. Learn how the data is curated, what capabilities are included, the market vendors and the benefits. Continue Reading
As hacking, ransomware and malware attacks mount, companies place big data protection and integrity among the primary reasons for increased spending on security software. Continue Reading
Data breaches and a history of data abuse led the EU to adopt GDPR, but it might take massive scale data security crises for the U.S. to legislate similar data protection laws. Continue Reading
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Most companies don't have a shortage of data, but it's often stored in siloed systems or inconsistent formats -- problems that data integration programs need to address. Continue Reading
The European Union's new GDPR law puts the onus on companies to ensure that their data governance and management practices enable them to comply with its requirements. Continue Reading
Companies need to make compliance with GDPR's requirements on managing personal data a priority, but they should also work to implement wider data protection efforts in the future. Continue Reading
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Data integration processes that aren't managed properly can create inconsistent data in BI and analytics applications. Here are some steps to avoid that problem. Continue Reading
Data privacy expert and SAP consultant Stephen Lofthouse outlines a six-step process that data managers can follow to be compliant with GDPR regulations. Continue Reading
Data governance programs often rely on the part-time data steward -- an employee from a business unit who also serves as a data expert. Continue Reading