Field Service is a remarkably complex business. The variety and volume of data a field service organization must work with, gather, and manage is extraordinary. Think about it.
There’s customer related data. What equipment do customers have, is it owned, leased, or on loan, new or refurbished, how and when is it used, where exactly is located, what’s the configuration, what are its component sub-assemblies, is it covered under a service contract or a warranty, what are the service agreement or warranty terms, what’s the service history for each piece of equipment, and more.
There’s service and repair data. What are service response and repair times, what symptoms and problems were reported, what were the resolutions, are service level agreement commitments being met, what are service labor and travel times, what parts or equipment were replaced, are reverse logistics actions involved, was the service billable or performed under a warranty or service contract, and much more.