Data Analytics Solutions

A global enterprise with millions of annual travel transactions struggled to establish a single source of truth. Spend data, crucial for effective business intelligence solutions, arrived in monthly batch drops from various TMCs and suppliers — air, hotel, car, rail, card, and expense — each presented in incompatible formats. This fragmentation left finance, sourcing, and leadership teams flying blind on leakage, carbon impact, and program compliance, hindering their ability to leverage data-driven decision making through a cohesive travel analytics platform.

Designed and owned the end-to-end development of TripTracker, a travel analytics platform, across four major versions—from initial architecture through global production operations. Built Azure Synapse pipelines, normalized a multi-source invoice data model, and published a Power BI reporting suite that provides comprehensive business intelligence solutions covering spend analytics, leakage detection, carbon calculations, forecasting models, and org-level roll-ups. 

Co-led joint schema design with a partner TMC engineering team to replace monthly batch feeds with a near-real-time daily ingestion architecture, enhancing data-driven decision making. 

Consolidated multiple TMC data sets into a single normalized model, enabling true cross-program analysis for the first time.

Millions of invoice-level transactions are processed annually across six data sources, facilitating robust business intelligence solutions. Our optimized data ingestion and transformation services enhance data-driven decision making by replacing monthly batch latency with near-daily data freshness. We utilize a single normalized schema that spans multiple TMCs, which has been adopted globally by finance, sourcing, and executive leadership through our travel analytics platform.

Many travel programs rely on supplier-provided portals that reflect the supplier's version of reality. Implementing independent, integrated business intelligence solutions allows procurement teams to negotiate from fact rather than feeling. 

A supplier-agnostic travel analytics platform transforms supplier relationships entirely. When your analytics layer operates outside any single vendor, your data moves with your program, not with your contracts. You can switch TMCs, add a new OBT, or consolidate expense platforms while ensuring that the data keeps flowing, the schema keeps normalizing, and the history stays intact. That's data fluidity: the ability to bring any source in, compare it against any other, and carry your institutional knowledge forward, regardless of who your suppliers are at any given moment.

The programs that negotiate best aren't necessarily those with the biggest spend; they are the ones that enter supplier discussions equipped with data-driven decision making and knowledge that surpasses the supplier's expectations. This advantage only occurs when the data is yours, the architecture is yours, and no vendor holds the keys.