Sunil Kamerkar, Asset Analytix and Alberto Landeaux, DP World

Is your CMMS data quality ready for Metrics implementation and related analytics? Is everyone in your team aligned to ensure data quality?Are you monitoring your CMMS data quality and continuously improving?
This paper showcases a case study on how a Global company assesses and ensures data quality of their CMMS application. It also discusses the importance & impact of data quality on key Metrics & business drivers. Deploying CMMS for multiple sites/plants globally poses great challenges due to varied business situations, cultures and Asset Management maturity levels.
Learn steps to identify DQ issues related to Metrics calculations & accuracy. It will also cover overcoming challenges related to ...- CMMS configuration- management of the CMMS env- working with global teams - implementation of data standards- training of the users for Data Quality
Practical approaches will be shared on establishing metrics for DQ monitoring, cleansing & reporting techniques.