Case Study: Leading Government Intelligence Agency achieves automated, scalable entity resolution and elevated operational intelligence with Tamr Inc.

Elevating Operational Intelligence With Automated, Scalable Data Insights

Leading Government Intelligence Agency faced an explosion of public and dark web sources and needed to integrate unstructured text (social media, news, analyst reports) into its persons-of-interest database faster than human analysts could scale. The agency engaged Tamr Inc., using Tamr Inc.'s data unification platform and ML-driven entity resolution to automate extraction and preserve high data quality.

Tamr Inc. ingested NLP-extracted entities from crawled news and social feeds, then applied machine learning plus expert sourcing to resolve people, places, organizations and stitch over 100 million relationships into a unified graph. The pilot matched over 20 million people from news sources against an existing corpus of 1+ million, achieved 95% accuracy on the verification dataset, and was completed in a matter of weeks—delivering scalable, high-quality integration that would have been infeasible manually.