Manufacturing organizations have made large investments in their IT infrastructure; ERP, LIMS, DSC, Historians, MES, CAPA, etc. which have supplied much of the specialized control and reporting needed for the manufacturing team.
The weakness in these investments is that the mountains of disparate data they collect is scattered across disparate data sources that are extremely difficult to access, aggregate and analyze.
A critical step towards improving the predictability of quality and yield is for manufacturers to provide self-service, on-demand access for end users to all the data in these systems so that multi-disciplinary teams can collaborate easily to understand cause-and-effect relationships.
- Enabling investigational analysis using all types of data, regardless of their physical locations
- Capturing "paper-based data" in a Part 11 compliant way
- Shortening time-to-market for new products
- Reducing raw material and finished product inventory to prevent stock-outs and reduce costs in the supply chain
- Reversing adverse process trends and lowering the frequency of deviations and specification failures
- Reducing the cost of regulatory inspections