Presenting the importance of Data Management and Data Quality in order to capture the right data, to adapt (transform and integrate) data and use it for advanced predictive maintenance analytics.
- Do we underestimate the need for data management and data quality?
- Profiling and Rules Libraries
- What is needed for continuous monitoring?
- Presenting some DNVGL and Customer examples from predictive maintenance