Predictive weakness analysis with data analytics

Weakness analysis in maintenance

The Potential Weakness Management (PWM) module enables maintenance managers to perform a comprehensive data-driven weak point analysis and, based on this, plan effective measures to address the weak points. The weakness analysis process follows four simple steps (weakness identification, action derivation, action implementation, effectiveness review) and is supported throughout by the software.

The first step is to determine what should be defined as a vulnerability. “In our experience, many companies see vulnerabilities where the most money needs to be spent. If a process consumes a lot of money, a vulnerability is suspected there. But that doesn’t necessarily have to be the case,” describes Christan Zwetti. Therefore, the criteria for the analysis and the data required for it are defined first. After all, it’s not a matter of recording as much data as possible and then asking yourself the question of how to utilize it – you have to work in a results-oriented manner right from the start. “With this approach, we try to avoid companies falling into the classic stumbling blocks of data analytics.”