Data profiling tools and techniques News
January 29, 2016
Data governance managers who spoke during an online conference said that tracking business-oriented metrics on data quality improvement is a key to success in governance efforts.
November 17, 2014
In this BizApps Today video report, editors Joe Hebert, David Essex and Don Fluckinger discuss new products and inside stories from recent HR Tech, Workday and CHIME events.
February 28, 2014
In an interview, author and data quality architect Laura Sebastian-Coleman discusses steps organizations should take to improve data quality levels.
September 06, 2012
Organizations are using data quality tools to support a growing range of use cases, according to a new Gartner Magic Quadrant report.
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Data profiling, also called data archeology, is the statistical analysis and assessment of the quality of data values within a data set for consistency, uniqueness and logic. Continue Reading
In a book excerpt, author Laura Sebastian-Coleman explores data profiling, data issue management and using reasonability checks in assessing quality. Continue Reading
In a book excerpt, data quality architect Laura Sebastian-Coleman explains data assessment terminology and details a framework for measuring quality. Continue Reading
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Collibra Data Governance Center is a repository- and workflow-oriented data governance platform that also offers features for data management and data stewardship. Continue Reading
Evaluating and selecting a data governance tool depends on not only features and functionality, but also how you will use the tool to add value to your organization. Continue Reading
Omni-Gen from Information Builders features a variety of tools for enterprise data management, data governance and data best practices, all in one centralized package. Continue Reading
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Machine learning is a hot technology in analytics applications -- and it also underpins new data preparation tools that let business analysts and users integrate data for analysis. Continue Reading
This guide offers insight on data quality management issues and best-practices advice on planning and implementing a data quality improvement program. Continue Reading
When implementing an MDM initiative, businesses should take steps to incorporate effective data quality management practices from the outset. Continue Reading
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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
While tools designed for data governance are helpful, organizations must also implement best practices and standard processes to be effective. Continue Reading
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