TPG’s ProjectPowerPack faced significant challenges that hindered its effectiveness as a project management solution. Outdated report designs and fragmented datasets spread across multiple files led to inefficiencies, slow refresh rates, and poor user experience. Additionally, the absence of robust data-source-level security posed risks and reduced trust in the reporting system. As the demands for modern, visually appealing, and scalable business intelligence tools grew, it became critical to redesign the reporting framework to align with current industry standards and user expectations.

A structured and iterative approach was employed to modernize the reporting system. Stakeholder interviews identified critical requirements and pain points, while a literature review highlighted best practices in business intelligence, reporting design, and data visualization. Prototyping followed, with user feedback guiding incremental improvements. Key steps included adopting Fluent UI principles for a modern design, optimizing datasets with the star schema to boost performance, and implementing live updates via Direct Query to enhance data accuracy and system responsiveness.

The redesigned reporting system transformed TPG's ProjectPowerPack by consolidating fragmented reports into a centralized dashboard. This cohesive interface streamlined navigation, enabling users to access key data efficiently while minimizing confusion. Modern visuals aligned with Fluent UI principles offered a clean, professional aesthetic, enhancing user satisfaction. Intuitive features, including dropdown filters and dynamic buttons, improved usability, while customizable branding allowed reports to meet client-specific needs. The dataset was restructured using a star schema model, simplifying table relationships, eliminating redundancies, and boosting query efficiency. Native Query further optimized performance by moving data transformations to the source system, reducing system load and improving processing speeds. Direct Query integration enabled real-time updates, cutting refresh times to under five seconds and ensuring data accuracy. This approach also bolstered data-level security, aligning reports with user permissions and protecting sensitive information. Increased efficiency and simplified maintenance established the system as a scalable, future-ready solution.