FabOps Customer Story

From Gut Feel to Real-Time Intelligence: How a Leading Automotive Group Grew Dealer Revenue by 30% in 90 Days

Branch managers were allocating stock based on historical averages and intuition. A unified data platform and a 90-day delivery changed that — producing a 30% revenue uplift and transforming data literacy across the organisation.

Automotive Enterprise (1000+)

Industry: Automotive
Organisation: Enterprise (1000+)
Partner: Onyx Data

The Challenge

A leading UK automotive group representing Ford car and commercial vehicles was facing the structural conditions that define the pre-governance enterprise: data scattered across multiple dealerships and third-party APIs, no real-time insight capability, and a workforce making daily commercial decisions without the data to support them.

Branch managers were allocating stock based on intuition and historical averages rather than live demand signals. Marketing was investing without attribution. Customer relationships existed in individual salespeople’s memories rather than in any integrated system. Nobody had a complete picture of customer preferences, purchase history, or service patterns across the dealer network.

The consequences were financial. Without real-time stock intelligence, branches carried the wrong inventory mix. Without customer data integration, cross-sell and upsell opportunities were missed. Without data literacy in the workforce, the organisation couldn’t act on insights even when they existed.

Data scattered across multiple dealerships and third-party APIs
No real-time insight capability for commercial decisions
Stock allocated by intuition and historical averages, not live demand
No integrated customer view across the dealer network
Low data literacy left the workforce unable to act on available insights

The Solution

Onyx Data deployed the three-question diagnostic: what infrastructure do they need, what data needs connecting, and what capability does the team need to sustain it? The answer produced a focused 90-day programme with three parallel workstreams.

Unified data warehouse & ETL

A consolidated data warehouse aggregating data from multiple third-party APIs and dealership systems — eliminating the fragmentation that had made real-time insight impossible. Automated ETL pipelines replaced manual data extraction processes, delivering clean, current data to the analytics layer continuously.

Single customer view

For the first time, the automotive group had a complete picture of every customer across their entire dealer network — purchase history, service records, preferences, and engagement patterns unified into a single profile. Cross-sell opportunities that had previously been invisible became actionable.

SQL & Power BI upskilling

Technical delivery alone doesn't change organisational behaviour. Structured upskilling in SQL and Power BI gave branch managers and commercial teams the capability to interrogate data themselves — transforming data literacy from a strategy document aspiration into a daily operational reality. The programme was designed to make the organisation self-sufficient, not dependent on ongoing consultancy.

The Results

30% Increase in dealer revenue

35% Improvement in data accuracy

50% Increase in data-driven decision making

90 days Days concept to measurable outcome

Single customer view delivered for the first time — a complete picture of customer preferences, purchase history, and service patterns across the entire dealer network.

The data was already there. It just needed governing.

The automotive group’s story follows the same pattern as every engagement in the Onyx portfolio. The data existed. The infrastructure existed. The organisational capability existed. What was missing was the architecture that connected data to decision — and the upskilling that gave people the confidence to act on what the data showed.

The 90-day timeline was not a function of reduced scope or shortcuts. It was the result of governance-first sequencing: defining the outcome before building the solution, establishing data quality standards before deploying dashboards, and measuring adoption like a product rather than declaring success at go-live.

Trusted Credentials