Data quality techniques and best practices
New & Notable
Databases vs. Data Warehouses vs. Data Lakes vs. Data Marts
This cheat sheet will help you better understand how each repository differs based on the type, purpose and quality of data. Plus, you’ll get an introduction to the features of data catalog software, a user-friendly metadata management system.
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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master data management (MDM)
Master data management (MDM) is a process that creates a uniform set of data on customers, products, suppliers and other business entities from different IT systems. Continue Reading
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data quality
Data quality is a measure of the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it's up to date. Continue Reading
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What is Data Management and Why is it important?
Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization, as explained in this in-depth look at the process. 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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How AI could save the enterprise data catalog
Enterprise data catalogs record all the databases and files in a corporation, but sometimes it can become out of date. Advances in AI are helping minimize the problem. Continue Reading
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Key components of an effective data virtualization architecture
Experts break down which elements -- both technical and nontechnical -- are most crucial to successfully deploying and managing a data virtualization architecture. Continue Reading
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The evolution of the data preparation process and market
Organizations have long struggled with inconsistent data and other issues. Expert Andy Hayler explores how that has led to the rise of the data preparation tools market. Continue Reading
Manage Data quality techniques and best practices
Learn to apply best practices and optimize your operations.
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5 steps to an improved data quality assurance plan
Consultant David Loshin offers tips on developing a data quality strategy that can help identify data errors before they cause big business problems. Continue Reading
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DOD CDO shares 7 data management best practices
The DOD's first chief data officer, Michael Conlin, shares tips on how organizations can modernize their data management practices with the objective of matching private enterprise. Continue Reading
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Align business and IT drivers through data quality best practices
Information management consultants talk about the importance of aligning business and IT drivers for a holistic architectural approach to ensuring strong data quality. 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