Three POS systems, no central repository, weekly reporting that arrived as static PDFs in inboxes. Replaced with a unified Azure data warehouse, in under a month, with zero downtime. Four years on, the same architecture still runs every analytics and AI capability the business has built.
Three POS systems, unified into one Azure warehouse. Built in 30 days. Still running four years on.
Breeze Autocare runs across multiple brands and service formats, each supported by different point of sale systems. Every system generated data in its own format, with no centralised repository to pull it together. Reporting relied on manual extraction, ending in static PDFs sent by email each week.
As the business grew and acquired new stores, the manual process became harder to sustain. Decisions were being made on data that was already a week old by the time it reached the people who needed it.
The Zig migrated the entire reporting operation from on-premise infrastructure to Microsoft Azure and built a centralised data warehouse from scratch.
Rather than a straight lift-and-shift, the architecture was redesigned to ingest data from all POS systems, normalise it across formats, and apply the business logic needed to generate consistent metrics at scale.
The warehouse was designed to grow. New data sources, new stores, new business logic, all addable without rearchitecting the foundation.
The warehouse was the foundational layer. Power BI dashboards came next, replacing the static PDF emails. Then fleet invoicing automation, built directly on the warehouse. Then integrations with Sage and Cinch. Then AI tooling.
None of those required rearchitecting what was built in the first month. That is the point.
The warehouse became the backbone of everything that came next. Four years on, the same foundation continues to support an expanding set of use cases across every business unit.
Tell us where your data is holding you back. We will be direct about what it takes to fix it (no slides, no theatre).