IMC Presentation (44:58)

David Mierau, Life Cycle Engineering (LCE)

The application of Industry 4.0 principles often involves the enhanced use of CMMS applications and the automation of data collection, all resulting in the world of Big Data. The goal is to use collected data to establish actionable insight (i.e., identify actions that you should take). However, bad data quality can lead to bad-decision making. Confirming data integrity is a critical step to ensure you are using data effectively. Learning objectives: • The goal of actionable insight • CMMS configuration pitfalls that decrease data integrity • How to communicate results with an integrity check