Case Study: Wellcove achieves AI-powered data platform efficiencies with Provectus

A Provectus Case Study

Preview of the Wellcove Case Study

Wellcove enables data-driven decision-making, optimizes operational costs, and implements ML fraud detection on its new Data Platform

Wellcove, a premier administrator of senior market and eldercare programs, faced challenges with its outdated on-premises data infrastructure. Disjointed and siloed data pipelines limited access to analytics and hindered data-driven decision-making, preventing the company from optimizing operational costs and staffing resources. They engaged Provectus to build a modern AWS-based data platform to address these issues.

Provectus designed and implemented a robust data lakehouse infrastructure on AWS, utilizing services like DMS, Glue, and Redshift. They integrated the Open Data Discovery platform for data governance and built Power BI dashboards for analytics. The solution provided Wellcove with improved visibility into key metrics and implemented an ML fraud detection system. This new platform enabled data-driven decisions, enhanced customer experience, and laid the foundation for future AI adoption.


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