Data quality management software
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Machine Learning Meets Data Quality
Read an exclusive interview with Andrew Burt, chief privacy offer and legal engineer at Immuta Inc., on data governance and machine learning integration. Plus, uncover steps IT managers are taking to improve data quality in their big data environments in order to ensure analytics accuracy.
Data quality management software News
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October 05, 2017
05
Oct'17
Big data systems up ante on data quality measures for users
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.
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September 06, 2017
06
Sep'17
Energy partnership drills down on data quality issues
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.
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March 10, 2017
10
Mar'17
Finance data governance program gets new start, broader focus
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.
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February 28, 2014
28
Feb'14
Data quality assessment requires business ties -- and a human touch
In an interview, author and data quality architect Laura Sebastian-Coleman discusses steps organizations should take to improve data quality levels.
Data quality management software Get Started
Bring yourself up to speed with our introductory content
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11 features to look for in data quality management tools
As the need for quality data has increased, so have the capabilities of data quality tools. Learn how collaboration, data lineage and other features enable data quality. Continue Reading
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How data lineage tools boost data governance policies
Enterprises can bolster data governance efforts by tracking how and when changes are made to data. Expert David Loshin offers advice on what to look for with data lineage products. Continue Reading
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Good data quality for machine learning is an analytics must
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
Evaluate Data quality management software Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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GDPR compliance requirements drive new winds of data privacy
Hello, GDPR. May 25 is the witching hour for enforcement of the EU's much-discussed GDPR compliance requirements -- and it's a harbinger of more changes to come. Continue Reading
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What are the main features of data catalog software?
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
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Data integrity protection spurs greater security spending
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
Manage Data quality management software
Learn to apply best practices and optimize your operations.
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Why organizations need a solid data governance strategy
Data management has evolved from centralized data accessible by only the IT department to a flood of data stored in data warehouses. Enter data governance. Continue Reading
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How can SAP Master Data Governance improve ERP master data?
These nine key components of SAP MDG help ensure regulatory, legal, environmental and financial compliance of your master data and improve operational efficiency. Continue Reading
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Why data quality tools matter in today's organizations
Data is everywhere -- but is it good? Data quality tools could answer that question and help save time and money. So why don't more organizations use the technology? Continue Reading
Problem Solve Data quality management software Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Using data profiling techniques -- and estimating the effort required
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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Data governance tools: Part, but not all, of the governance puzzle
While tools designed for data governance are helpful, organizations must also implement best practices and standard processes to be effective. Continue Reading
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No more shortcuts: Sound data quality strategy a must for BI success
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