Process.Science's IoT Miner is changing how companies get value from their machine data. This innovative solution turns unstructured sensor data into meaningful process info, closing the critical gap between IoT tech and Process Mining.

At its core, the IoT Miner uses advanced clustering algorithms and artificial intelligence to recognize patterns in seemingly chaotic sensor signals. These patterns are automatically classified as events and converted into a structured event log – the basis of any Process Mining analysis.

However, the true strength of IoT Miner lies in its ability to link these machine-generated events with business data such as orders, materials, or customer information. This creates a holistic picture of the production process that encompasses both technical and business aspects.

For manufacturing companies, this means that production processes become transparent, bottlenecks become visible, and optimization potential becomes measurable. The IoT Miner makes it possible to correlate the actual status of machines with production orders and thus, for example, precisely identify the causes of quality problems or delays.

The solution is remarkably adaptable and can be connected to almost all common sensor systems and data sources. The result is a powerful Process Mining system that is not based on manual data entry or rigid BPMN models, but on the actual processes on the shop floor – captured in real time and analyzed using state-of-the-art data science methods.