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Quality over quantity: unlocking real value from manufacturing data 

In today’s manufacturing landscape, data is everywhere – but turning that data into meaningful insight remains a significant challenge. In a recent interview, Sergey Konstantinov of Samworth Bros shared practical advice on how manufacturers can cut through the noise and become truly data-driven.

One of the most important principles, Sergey explained, is that data quality matters far more than data quantity. With modern factories generating vast amounts of information from sensors, machines and systems, it’s easy to become overwhelmed. Instead of collecting everything, manufacturers should focus on the data that directly supports clearly defined business goals. This starts with aligning business KPIs – such as productivity – with operational KPIs like overall equipment efficiency (OEE).

By linking these metrics, organisations can identify exactly what data is needed from the shop floor. For example, improving OEE requires breaking it down into components such as equipment losses and quality issues, then targeting the specific data points that influence those areas. This structured approach prevents teams from getting lost in irrelevant information.

Beyond relevance, accessibility and visualisation are equally critical. Data must be easy to interpret and available to the right people at the right time. Clear dashboards and intuitive tools empower teams to make faster, better decisions based on real-time insights.

So what does a truly data-driven manufacturing organization look like?

“A truly data-driven manufacturer doesn’t just understand what’s happening now — it can predict what’s next and respond faster than the competition.”

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According to Sergey, it is one that has full visibility across operations through both vertical and horizontal data integration. Such businesses not only understand what is happening on the shop floor in real time but can also anticipate future outcomes and respond quickly to change.

Ultimately, data-driven manufacturing is about agility and competitiveness. Organisations that can translate high-quality data into actionable insight are far better positioned to adapt to market shifts, optimise performance, and build the factory of the future.

Sergey Konstantinov

Automation Project Manager, Samworth Brothers