Data Analytics Technology

“Data is the new oil, but information is the new gold”. Data analytics at mcs.

Challenge

One of the challenges of digitalisation is the question of how to handle large quantities of data. How can benefits quickly be gleaned from the data? How can errors and abnormalities be recognised and how can the data be prepared and visualised?

Solution

Usage Data of Software Products

Various mcs software products have a web interface for sending data to an elastic cloud server. This allows data to be gathered in real time on software use and stability, the software states used and error situations. The collected information is visualized on application-optimized dashboards and helps to continuously improve our products.

Analysis of Device Log Data

By using a logfile parser, various different logfile types are merged and loaded onto an elastic platform with Logstash. The data collected from thousands of devices can then be visualised using Kibana and efficiently analysed.

Advantages

The gathering of data from software and/or hardware components produces transparency. By using objective and anonymised data, we are able to continuously optimise the quality of our products and adapt their functionalities even better to the needs of our customers. In addition, it is possible to detect error patterns automatically, something that cannot be done manually. In this way, errors can be detected before they become a problem.

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