and advanced process control. It is our business to apply this expertise to solve the challenges of our customers.

Our software products and tailor made software solutions create value for our customers by processing real-time sensor data or historical (big) data. We also deliver control engineering and analytics services.

Our know-how is being applied to solve many different challenges in totally different application domains. Both in industry and in other organizations.

We have developped a big data self-learning solution for anomaly detection & analytics for machine data & log files based on data mining and machine learning that goes way beyond multivariate analysis with process discovery and process mining, on top of open source technologies like Logstash, Kafka and Elastic Search.

It has the ability 1. to learn from the various heterogeneous data streams statistical models that describe how the machines, devices and systems have been used and which process steps were executed by those systems. This is called process mining.

2. to detect in real-time anomalies or abnormal process execution in both numerical data and log files, while taking into account the context in which the system operates. This is also called context dependent anomaly detection.