Manufacturer Ends Costly Production Downtime with a Unified Data Lake – Built on AWS in 3 Months

Production kept stopping – and scattered data made it impossible to find out why

Our client manufactures electronic circuits, with several plants across Europe and Asia. Like many established manufacturers, they had accumulated data everywhere – and could use almost none of it. Systems didn’t talk to each other, and critical information lived in silos.

The most painful symptom was production downtime. Idle periods struck frequently and unexpectedly, and the team struggled to identify root causes – there simply wasn’t enough data available for analysis. Every unexplained stoppage cost money and eroded competitiveness.

The problems compounded one another. Manual collection and entry of production and business data introduced recurrent human errors. A lack of integration between departmental systems made it impossible to track performance across facilities. And without a unified security policy across workstations, there was a high risk of data corruption and unauthorized access.

The client came to Yalantis to bring order to the chaos: securely store data from every source, and make it easy to access for business intelligence and analysis.

A cloud-based data lake on AWS that unifies every data source into a single, secure, queryable store

We built a data lake architecture providing centralized cloud storage and supply chain analytics. It stores and structures data in all formats – structured, semi-structured, and unstructured – from every internal and external source, and lets authorized employees access it easily and securely.