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Like never before, companies are using data to make business decisions. The challenge for IT organizations is to make sure that that data — increasing every day — is of the best quality. That means ...

LONDON, Oct. 2, 2017 /PRNewswire/ -- DQ Global a leading provider of CRM data cleansing and data integration services has announced a new unique feature – Cross Entity Matching & Merging capabilities ...

Accurate data is rightly considered one of a business’s most valuable assets. But a database is dynamic, it needs managing, checking, refining. Without such care it decays becoming less useful and can ...

Unison by Melissa is a customer data platform that brings all of Melissa’s data quality tools together, putting the power of data cleansing into the hands of the non-programmer. Unison’s highly ...

Big data sets are full of dirty data, and these outliers, typos and missing values can produce distorted models that lead to wrong conclusions and bad decisions, be it in healthcare or finance. With ...

The need to scrub data is made pretty clear by simple questions like this one: Are Jerry L. Jonson of 16 Clarke St., Altuna, PA, and Gerry L. Johnson of 16 Clark Street, Altoona, Penn., the same ...

Cleaning data is no different from many types of maintenance - just as disorganization creates disruptions in life, working with unclean data can be a recipe for disaster for an enterprise. Wasting ...

SAN FRANCISCO, CA and BOSTON, MA--(Marketwired - Nov 3, 2014) - Trillium Software, A Harte Hanks Company (NYSE: HHS) and leading global provider of data quality solutions, and InsideView, a pioneer in ...

UK law enforcement agencies can now access data cleansing and analysis tools via the Microsoft Azure cloud, potentially saving police hundreds of hours of manual data processing. The tools available ...

Choice Hotels International Inc., the world’s second-largest hotel franchiser, is upgrading its customer data integration (CDI) software as part of a drive to boost room bookings and revenue while ...

New software analyzes a user's prediction model to decide which data to clean first, while updating the model as it works. With each pass, users see their model improve. Big data sets are full of ...