There are thousands of different types of assets, all with unique attributes. Often times much of that data is available in a CMMS, but cannot be leveraged in conventional methods of collecting data by spreadsheets and e-form apps. Much of the data has to be created each time an inspection is taken, and information on the assets, as well as results of past inspections cannot be leveraged.

The issues continue to mount, when the results of the inspections are attempted to be aggregated, reconciled with other systems and used to support business decisions. Different data structures and nomenclature can make it difficult to reconcile and integrate the data with other sets of information. Often times the output from the inspections cannot be fully leveraged for advanced reporting and analytics.

Data quality is a common problem in any data collection effort. System controls are often missing or inadequate to prevent subjectivity and errors to occur in the results. Answers to questions, although technically correct, can often provide little guidance on what action needs to be taken.