Abstract
Service-delivery modeling and optimization is a complex problem involving multiple service levels, skill sets, request classes, and service times. In this paper, we describe a comprehensive and scalable end-to-end analytical methodology that we developed and implemented at a global information technology service delivery provider. This methodology provides predictive insight and prescriptive solutions to the problem of staffing service-delivery units in this complex environment. Our solution has been deployed globally at more than 640 service-delivery units and has yielded more than $52 million in cost savings and cost avoidance to date.
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