Case Study: ConnectiveRx achieves centralized, secure data analytics with Divectors

ConnectiveRx centralizes data with Divectors and de-identifies PHI in Redshift

ConnectiveRx, a technology-enabled life science services company, faced a complex data management challenge following an acquisition, with information spread across multiple disparate sources. This made data analysis difficult and time-consuming, and the sensitive nature of their data necessitated a centralized and secure repository. To address this, they partnered with Divectors for a data platform and consulting solution.

Divectors designed and implemented a centralized data warehouse using Amazon Redshift. Their solution integrated data from diverse sources using a secure, de-identified framework and introduced audit functionality to track data loads. This provided ConnectiveRx with a single source of truth, enabling effortless data analysis and ad hoc reporting while maintaining stringent data security. The results included a structured, up-to-date data repository, the ability to track load progress, and the successful de-identification of all sensitive PHI data.

ConnectiveRx