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 ...

Accurate person identity data is one of the most difficult challenges in healthcare today. The stakes are high; merge the wrong records, and you create a privacy risk; fail to link the right ones, and ...

“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Terry Chen, product manager, Adobe ...

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 ...

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 ...

With DataMatch Tool 2.0 (DMT 2.0), researchers can link data from different sources easily and quickly and take their research to a higher level. Based on their experience in academic research and ...

ARN has launched ARN Data Match, a new capability that empowers clients to elevate their marketing strategies through first-party data matching. This solution allows brands to leverage their own ...

With much buzz around ‘clean room’ tech enabling a surge of privacy-compliant data enrichment, Pete Danks, vice-president of product at Magnite, offers an ...