Data quality management software
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 management software News
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October 01, 2019
01
Oct'19
Immuta introduces new features to Automated Data Governance
The new updates also bring about native Hadoop distributed file system workspaces within Immuta and more ways to integrate Immuta with other applications and tools.
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July 31, 2019
31
Jul'19
Naveego launches tool for analyzing data quality and health
Naveego Accelerator enables users to check for inaccurate data, incomplete data or improperly formatted data to prevent inconsistencies that could cost businesses money.
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February 22, 2019
22
Feb'19
Attunity acquisition expands data management for Qlik users
Qlik's acquisition of Attunity is another sign of the BI vendor's data management ambitions -- and may help attract new users that want to unify big data and analytics.
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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.
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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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
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Augmented data management draws more enterprise interest
With AI and machine learning, organizations are starting to augment their data management. This is changing the way enterprise users capture, govern and integrate data. Continue Reading
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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
Manage Data quality management software
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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Why a solid data governance strategy is a must for companies
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
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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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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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