Logistics Data Management, Error Handling, Corrective Action Framework

The importance of a well-understood and well-documented data quality and error handling and corrective action framework cannot be overstated. There are many key aspects to designing a solid error handling approach; however, the main theme must focus on developing an architecture and technology roadmap that operationalizes MS&A data quality practices, to include error handling processes, and analytics. Providing the Air Force MS&A community with a standard method for data quality and error mitigation is imperative to ensure the accuracy of data used within analytic projects. The process for sharing data within the MS&A ecosystem should be implemented in a consistent manner, decreasing the risk of mistakes, missed steps and inefficiencies that are often introduced during ad hoc data sharing processes. Several benefits will result from this methodology: 1. Efficiency, 2. Consistency , 3. Knowledge Transfer, 4. Evolution