Matching is the comparison of personal data from two or more different sources in a search for anomalous conditions. The anomaly might be the existence of a person in two different data sets where ...
This data matching approach has the potential to promote comparisons of the distribution of disease, treatment trajectories, and clinical outcomes among Veteran and non-Veteran populations with cancer ...
The Department of Human Services (DHS) has detailed a new data-matching project, this time concerned with Medicare fraud. As detailed in a new program protocol [PDF], the focus of the data-matching ...
NEW YORK--(BUSINESS WIRE)--InfoSum, the world’s leading data collaboration platform, today announced an agreement with Acxiom, the customer intelligence company whose data-driven solutions create ...
Geospatial data integration and matching techniques are pivotal in reconciling spatial information from diverse sources, enabling comprehensive representation and analysis of the physical world. These ...
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How to use fuzzy matching in Power Query to clean up Excel data
Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...
Marketers who want better match rates should focus on improving the accuracy of the user data input into systems and the precision of data output. Data is the new oil, but countries like Venezuela ...
Syniti announces Syniti Match release for efficient, AI-driven data matching Your email has been sent On October 19th, Syniti, the global enterprise data management solutions provider, announced an ...
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