Phase 1 of PDH led to redundant attributes, causing data inefficiencies. To address this, custom scripts were developed for secure deletion, automated data transformations were implemented and performance optimizations were applied. These enhancements reduced processing time from weeks to days, improved data accuracy, minimized manual effort and established a scalable system for future data management.
In Phase 1 of PDH, numerous redundant attributes and attribute groups were created, leading to millions of unnecessary data entries that required cleanup. The key challenges included the inability to delete attributes with existing data using standard PDH functionality, the need to transfer data between character and number groups and the inefficiency of the existing process, which took weeks to prepare a new instance due to the large data volume.
Developed custom scripts to enable the deletion of redundant attributes without affecting data integrity.
Implemented automated data transformation to facilitate seamless transfers between character and number groups.
Applied performance optimization techniques to accelerate data processing.
Reduced the overall cleanup time by streamlining and automating the process.
Improved data accuracy and reduced storage overhead.
Decreased data processing time from weeks to days, enhancing operational efficiency.
Minimized manual intervention, reducing errors and operational costs.
Established a scalable and optimized PDH system for future data management needs.