An Introduction To Data Models And Modeling For Pharma 4.0

By Tony Paine, CEO of HighByte

Life science manufacturers are adopting new smart technologies that generate extensive data for optimizing production, predicting machine failures, and enhancing quality. However, connecting these machines to data storage platforms or enterprise systems isn't always seamless. It necessitates a standardized approach to define and categorize data, ensuring a single source of truth across the organization for faster, more informed decision-making.

The foundation for standardizing data across a wide range of raw input data lies in the data model. An Industrial DataOps solution like HighByte Intelligence Hub enables users to develop models that standardize and contextualize industrial data, serving as a data hub with a modeling and transformation engine at its core. Explore six commonly asked questions people have when considering a data-modeling solution.