CLIENT CASE STUDY

Data driven plant management

A client that operates a high-tech food production plant with complex, interdependent processes has ambitious targets for increasing output. It needs a solid data platform to identify bottlenecks and measure the impact of improvements to their production line.

INDUSTRY

Food & Manufacturing

SERVICE

KPI Setting, Analytics, Dashboards

STACK

Databricks, Synapse, Power BI

MARKET

Western Europe

Workers operate machinery in a potato processing factory, sorting and packaging potatoes on conveyor belts.

THE CHALLENGE

The plant management team had a clear ambition: increase plant output volumes. They even had a strong sense of where the opportunities lay. But without reliable data, they couldn't substantiate their ideas, prioritize investments, or measure whether improvements were actually working.

Decisions were being made largely on experience and intuition. In a high-tech production environment, the cost of getting those decisions wrong can be high.

The right instincts, without the data to back them up

A white face shield is hanging from a metal hook in an industrial or laboratory setting with a perforated metal background.

WHAT WE DID

Follow the data through the production line

Our consultants mapped the production process and connected existing machine data to the right KPIs. From there, they built a layer of automated insights that operational managers could act on immediately. This resulted in:

  • Dashboards covering line performance, downtime and quality, accessible to everyone on the floor

  • Visibility into machine settings to quickly pinpoint the root cause of issues

  • Direct measurement of the impact of every improvement made to the line

Where possible, the insights are refreshed multiple times a day to give plant managers and operational staff a live view of the plant performance

THE RESULTS

What a data driven production plant looks like in practice

50

automated reports covering all areas of the production process

100+

hours of downtime prevented each year

20+

active users relying on the data platform daily

Ready to let data drive your operational decisions?

Let's talk!