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Data profiling tools and techniques News
October 05, 2017
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.
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.
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High-quality data is a must for analytics applications. That's driving more demand for data quality tools, but quality initiatives are still maturing in many companies. Continue Reading
Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Continue Reading
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
Evaluate Data profiling tools and techniques Vendors & Products
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This buyer's guide provides insights to help you determine if your organization could benefit from data governance software and how to navigate the buying process. Continue Reading
Informatica Master Data Management is aimed at helping sales, marketing and customer service teams ensure they're working from the most relevant and accurate data available. Continue Reading
The Diaku Axon data governance platform is designed to assist financial institutions as well as other industries with complex regulatory compliance environments. Continue Reading
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To help make big data analytics applications more effective, IT teams need to augment conventional data quality processes with measures aimed at improving the usability of data. Continue Reading
When it comes to governance of business intelligence data, the private sector can learn valuable lessons from the public sector's data management practices. Continue Reading
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
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Real-time big data analytics calls for changes in the way data systems are built. Some of the pressing challenges are discussed in this edition of the Talking Data podcast. Continue Reading
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