Data quality techniques and best practices
New & Notable
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 techniques and best practices News
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March 21, 2019
21
Mar'19
Machine learning approaches gain critical mass for data pros
Machine learning will bring change to analytics and data management, said data luminary Michael Stonebraker. Others agree managing such change will take special effort.
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March 15, 2019
15
Mar'19
Big data management practices gain attention amid risks
Many data professionals have yet to solidify traditional data management practices, but they have a new set of challenges to overcome to ensure data privacy and avoid misuse.
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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.
Data quality techniques and best practices Get Started
Bring yourself up to speed with our introductory content
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Advice on enterprise data cleansing from an SAP VP
SAP's Kristin McMahon details data cleansing best practices and explains why a good data cleanse needs continual communication, collaboration and oversight. Continue Reading
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USAA adds data engineering skills to speed data science work
When the United Services Automobile Association's data science team wasn't getting data in the right format, the team lead realized the USAA needed more data engineers. Continue Reading
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Tips for creating curated data sets for self-service BI users
Data curation initiatives can help streamline BI processes by reducing the amount of time users spend locating and preparing data. Get four tips for preparing data sets. Continue Reading
Evaluate Data quality techniques and best practices Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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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
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U.S. data protection laws fall short in the age of big data
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
Manage Data quality techniques and best practices
Learn to apply best practices and optimize your operations.
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How to navigate the challenges of the data modeling process
Data modeling and curation can help businesses more efficiently use data they've collected. There are challenges, however -- beginning with ensuring data quality. Continue Reading
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8 tips to improve the data curation process
A data curation and modeling strategy can ensure accuracy and enhance governance. Experts offer eight best practices for curating data. First, start at the source. Continue Reading
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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
Problem Solve Data quality techniques and best practices 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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Why data silos matter: Settling ownership of data issues
Data ownership is still seen as a task for IT -- but that can lead to data silos full of redundant information. Find out why you should put the business in charge of its data. Continue Reading
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What data lake governance challenges do organizations face?
Expert Anne Marie Smith explores challenges an organization may face when apply data governance policies to data lakes -- and the benefits of doing so. Continue Reading
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How data duplication in healthcare is diagnosed
Electronic health record systems have helped reduce duplicate patient data in hospitals -- but they haven't cured the problem. Find out how organizations are addressing the issue. Continue Reading