Enabling real-time insights for a leading U.S. convenience store chain
A fast-scaling convenience store chain had invested in a modern data lake, but leadership wanted to ensure the data translated into business value, not just storage. As locations and transactions multiplied, the company looked to create a single, governed, and analytics-ready view of the business—capable of powering both daily store decisions and strategic planning.
Working with Saxon, the organization built a modern, Azure-native data and analytics foundation that transformed scattered raw data into a trusted, on-demand insight layer for the entire retail network.
The Goals
Turn raw, scattered data into a single, governed view of the business
Deliver self-service analytics for faster, store-level and executive decisions
Create a scalable foundation for streaming and batch data as the network grows
Impact Delivered
We stood up a modern Azure-native data backbone—pipelines, a semantic layer, and a unified reporting experience—so every team could see the same truth, at the right time.
Cost savings of 15% tied to data/analytics operations
Structured, trustworthy data replacing ad-hoc stitching
Valuable business insights available on demand to guide decisions across the chain
Download the case study to see how Azure Data Factory–powered pipelines unlocked visibility at retail speed.
