Introduction: 

The amount of data produced in the Pharmaceutical and Life sciences industries by labs, clinical trials, and manufacturing plants, is significant. As the data volume grows, organizations face the challenge to properly manage data to gain the process insights they envision from it. Data trapped in silos, slow compliance processes, and failed AI pilots are often the result of shortcomings in data management.

A structured Data Maturity Assessment provides the path forward. By implementing the data maturity model, organizations are benchmarked on where they are today and how they build a roadmap toward becoming truly data driven. They can go from a data immature/fragmented state to truly AI-Driven organizations. Combined with modern approaches such as Data Mesh and domain-driven data architecture, Pharmaceutical and Life science organizations can transform data from a burden into a business advantage.

“The future of Pharma manufacturing is data‑fluent, domain‑owned, and AI-ready.”

FIDAS, FrontWell Intelligence, Data, and AI Solutions Business Unit, offers the methodology, the tools, and the expertise to help customers progress on moving forward on this path to make sure their data is reliable, compliant, and AI-ready.

📃 Register with your email to receive the Whitepaper: