Case Study: Global Education Technology Company achieves 95% data accuracy for 250K records with Xtract.io

A Xtract.io Case Study

Preview of the Global Education Technology Company Case Study

AI-powered data quality and enrichment services to rapidly profile the massive amount of data

Xtract.io worked with a global education technology company in the United States that needed to build an enriched database for about 250,000 records of American Men and Women of Science. The customer struggled to manually find and access relevant information, and also needed a secure way to manage large volumes of updated data and maintain usable data models.

Xtract.io implemented a custom AI-powered data quality and enrichment solution, using bots to automatically update and enrich the reference records and storing them in its secured database management system, Solis. The vendor also created data models to support access and security, helping the customer achieve 95% data accuracy across nearly 250,000 records while improving hosting and maintenance efficiency.


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