A global information services conglomerate · Enterprise Finance · Multi-BU Analytics · Cost Optimization
The organization needed to understand WPT spending patterns, anomalies, and cost-optimization levers.
Spending data was not segmented by business unit, geography, or cost category — preventing benchmarking.
Diverse data sources with no validation or reconciliation framework — leading to unreliable spend insights.
No scalable approach for expanding spend analytics into additional business units and global regions.
Procured, ingested, and segmented data by business unit, geography, and cost category with meticulous validation.
Developed advanced algorithms for key metric identification, anomaly detection, and spend benchmarking.
Crafted dashboards providing clear visibility into spending patterns, rate disparities, and technology lifecycle issues.
A strategic roadmap for expansion into additional business units and global regions delivered alongside the solution.
Visibility into rate disparities and purchase trends.
Spend across business units and geographies.
Robust data quality framework for ongoing accuracy.
Roadmap for future BU and regional expansion.