Gartner Definition Of Field Service Management
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A graphical competitive positioning of leaders visionaires niche players and challengers for field service management.
Gartner definition of field service management. Cloud and mobile. Gartner researched 16 vendors on standard field service capabilities. Application leaders can use this research and its companion magic quadrant as part of a broader evaluation process. In many ways gartner s report outlines what we already knew.
An increased focus on workforce optimization improved service quality levels a move to more flexible software models for example software as a service or cloud and wireless mobility. Gartner magic quadrant for field service management summary vendors positions in this magic quadrant reflect clients new expectations in areas such as collaboration safety business models and ai driven decision support for parts and labor planning. Gartner magic quadrant for field service management summary four trends continue to drive changes in the field service market. Managing demand planning work informing and enabling technicians debriefing work orders and performing analysis and integration.
Field service management application priorities vary significantly by use case so we compare vendors using nine capability areas weighted differently for each of three use cases. The field service landscape is rapidly changing and ifs is ready to help organizations lead that change. Field service management includes the detection of a field service need through remote monitoring or other means inspection or a customer detecting a fault field technician scheduling and optimization dispatching parts information delivery to the field and process support of field technician interactions. Gartner has announced that once again ifs has been named in the leaders section of the 2019 magic quadrant for field service management.
Gartner s magic quadrant for field service management. Gartner magic quadrant for field service management summary vendors positions in this magic quadrant reflect customers new expectations in areas such as digital technician support outcome based service business models and ai driven scheduling and decision support.
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