Enterprise Asset Management in the processing industries requires a focus on safety, reliability, and maintainability of equipment.  Maintenance information is used to define and evaluate compliance with equipment reliability and maintainability requirements; perform and evaluate quantitative and qualitative analyses and assessments; perform and evaluate statistical analysis, trending, and trade-offs; perform and evaluate maintenance analyses, such as reliability centered maintenance techniques; evaluate system/equipment failures to determine root cause and develop corrective actions to prevent similar failures in the future; and integrate reliability/maintainability requirements, activities and results with other related disciplines such as safety engineering, risk management and quality engineering.  Quality information comes from quality, structured data.

Logic to store and classify data associated with technical objects is necessary to make the data readily accessible, retrievable, and comparable between similar technical objects. Such logic, called taxonomy, is structured hierarchically and based on the characteristics of technical objects.  Taxonomy greatly improves maintenance analyses and decision-making by improving information quality and availability. ISO 14224, Collection and exchange of reliability and maintenance data for equipment, promotes a standardized approach to taxonomy that maximizes the utility of data and facilitates data exchange.

v  SAP-Centric EAM 2006 slide presentation, "Use SAP PM to Capture Quality Equipment Reliability Data"