How a Tier-1 Automotive Supplier boosted OEE by 18% with a unified data platform, eliminating data disputes and securing multi-million dollar contracts.
This case story illustrates a common challenge for manufacturers aiming for operational excellence. The solution demonstrates our proven approach to creating a single source of truth. Is your production floor still run by spreadsheets? Let’s build your Production Control Tower →
For a leading Tier-1 automotive supplier, operational meetings were a battlefield of conflicting data. Managers from Production, Quality, and Maintenance would arrive armed with their own Excel spreadsheets, each telling a different story about the factory’s performance.
The result? Hours wasted in “war room” debates over whose data was correct, leading to analysis paralysis and delayed decisions.
The core of the problem was a fragmented digital landscape. Critical data was locked away in disconnected systems like SCADA, MES, and the SAP ERP. Without a single, trusted source of truth, the organization was blind to its true operational efficiency. They were managing the past through lagging reports, not controlling the present with real-time insights.
The status quo shattered when a key automotive client (OEM) issued a stark warning: improve delivery performance or risk losing the contract.
A forensic analysis revealed a shocking truth: the critical production line was operating at less than 60% efficiency, not 80% as believed. The culprit? Thousands of unrecorded micro-stops, making their data fundamentally flawed.
We used Azure Data Factory to establish a robust data ingestion pipeline, pulling data in near real-time from machine controllers (via OPC UA/MQTT), MES, and SAP into a centralized Azure Data Lake.
In Azure Synapse Analytics, we transformed the raw, disparate data into a perfectly structured, business-ready OEE model. This became the unchallengeable heart of their Single Source of Truth.
With a trusted data model in place, we used Power BI to build an interactive “Control Tower” dashboard, empowering the entire shop floor to act on live data.
We architected a modern, scalable data platform for Industry 4.0 analytics, ensuring reliability and a single version of the truth.
Azure Cloud
Power BI
Data Factory
Synapse Analytics
“I used to spend the first two hours of every shift just figuring out what went wrong yesterday.”
“Now I walk in, check the Control Tower, and know exactly where to focus. Problems don’t hide anymore.”
The implementation of a single source of truth fundamentally changed how the organization operated.
We architect and build scalable data platforms, consolidating siloed data from MES, ERP, and SCADA systems into a single source of truth.
Explore BI Solutions
Custom shop-floor dashboards, predictive maintenance reports, and supply chain analytics that turn complex production data into actionable insights.
Learn About Power BI ServicesA complimentary 90-minute workshop to evaluate your current data infrastructure and create a phased roadmap for building your single source of truth.
We select one critical production line and build a working “Control Tower” pilot in 6-8 weeks, demonstrating immediate value.
We scale the solution across your facility, training your teams to leverage data for continuous improvement.
“OEE isn’t just a metric; it’s a culture. The real transformation happens when a machine operator, not just a manager, can see the impact of a 30-second stop in real-time. We don’t just build dashboards; we build systems that empower your team to win, shift by shift. We replace guesswork with certainty, right on the shop floor.”
Our team combines deep expertise in manufacturing processes with cutting-edge data architecture. They’ve helped dozens of industrial clients transition from reactive “fire-fighting” to proactive, data-driven operations, unlocking millions in operational efficiencies.
Let me be your single point of contact and lead you through the cooperation process.
Signed, sealed, delivered!
Await our messenger pigeon with possible dates for the meet-up.
