A holistic data infrastructure removes the barriers of finding, capturing, converting and organizing operational data, enabling operators and engineers to model enterprise-wide operational intelligence while reducing complexity and cost. With a data infrastructure, assets can be readily analyzed and compared, and analytics can be used for better long-range capital planning and utilization.
When employees have the right information at the right time, they can analyze product quality, optimize capital equipment, cross-check environmental conditions with production, and diagnose and solve problems
For the pharmaceutical company now holding a warning letter, this could have given operators the knowledge needed at the time of production to make decisions on the spot. It could have armed them with the ability to understand quality and performance during the manufacturing process.
Once this holistic data infrastructure is implemented within an organization, it becomes a foundation for building four pillars of a successful and stress-free pharmaceutical manufacturing operation.
For the pharmaceutical company now holding a warning letter, this could have given operators the knowledge needed at the time of production to make decisions on the spot. It could have armed them with the ability to understand quality and performance during the manufacturing process. With such a system in place, the warning letter would likely never have been sent in the first place — because the company would have been operating to manage risk and ensure quality using real-time data for secure and reliable actions
