Tamr for Government Case Study

Elevating Operational Intelligence With Automated, Scalable Data Insights

Machine Generated Data Only Leads To Intelligence If It’s Intelligently Processed

In today’s digital world, the number of data sources, public and dark, is increasing at an exponential rate. To an intelligence agency, more data from more sources can lead to richer, higher quality intelligence. Unfortunately, human analysts can’t be hired at a rate to keep up with demand for preparing these data sources for use. Machines can help to automatically parse and process data sources, but only if the generated data is of high quality. A government intelligence agency approached Tamr to automatically process millions of data sources while still ensuring the highest levels of data quality.

Specifically, the agency had an internal database on persons of interest but sought to improve their ability to integrate unstructured text sources, such as social media, news sites, and analyst reports, into that database. If this process could be automated without compromising data quality, it would give them a more accurate and comprehensive view of those people. In essence, the intelligence agency could cast a wider net to capture insight from all data available, ensuring no persons of interest ‘fall through the cracks’ and all available insight on known persons is captured.

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