
Worked on enhancing KPI accuracy and data integrity across the PublicisSapient/knowhow-api and knowhow-ui repositories over a two-month period. Focused on backend and frontend bug fixes, this developer refactored the Node data model to use ProjectHierarchy, improving the clarity and reliability of KPI calculations for both SQV and Kanban boards. Leveraging Java, TypeScript, and Angular, they addressed issues in analytics data collection by restoring and updating data flows, ensuring consistent and accurate KPI reporting. Their work reduced discrepancies in metrics, improved maintainability, and established a more robust foundation for future enhancements in KPI analytics and dashboard reliability.
November 2024: Strengthened Kanban KPI data integrity and analytics reliability across knowhow-api and knowhow-ui. Completed back-end data access refactor for KPI data using ProjectHierarchy, updated Node logic, and removed redundant checks/constructors, while re-enabling analytics data collection in the UI to ensure accurate KPI metrics and reliable reporting for Kanban boards.
November 2024: Strengthened Kanban KPI data integrity and analytics reliability across knowhow-api and knowhow-ui. Completed back-end data access refactor for KPI data using ProjectHierarchy, updated Node logic, and removed redundant checks/constructors, while re-enabling analytics data collection in the UI to ensure accurate KPI metrics and reliable reporting for Kanban boards.
Oct 2024: Fixed SQV KPI calculations and refactored Node data model to use ProjectHierarchy, improving KPI accuracy and data clarity. This work enhances dashboard reliability and sets up a solid foundation for future KPI enhancements.
Oct 2024: Fixed SQV KPI calculations and refactored Node data model to use ProjectHierarchy, improving KPI accuracy and data clarity. This work enhances dashboard reliability and sets up a solid foundation for future KPI enhancements.

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