NEW YORK, N.Y., Sept. 30 — Trillium Software, A Harte Hanks Company (NYSE: HHS) and leading global provider of data quality software, today announced a technology alliance and technical certification ...

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 ...

Perfect & Merge™ already offered productivity gains and many more capabilities than the out-of-the-box Dynamics 365 duplicate detection and it has just got better again. Full support for integration ...

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 ...

Cast Iron Systems, maker of an appliance for integrating SaaS and on-premise applications, is introducing a new version that adds data cleansing and migration tools, along with a library of prebuilt ...

Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management software that help businesses efficiently store, organize and analyze data. Data management software, not to be ...

Tesco.com is rolling out software which will make it easier to manage the thousands of products in its database. The online arm of the retail giant is using product information management technology ...

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 ...

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 ...