Resource Planning
Category: Predictive Analytics
Predictive analytics can support resource planning and event response. As Drew (2016) reports, examples include cases where “the Government Digital Service (GDS) has created predictive models of trafï¬c to gov.uk pages to help spot issues with pages or services more quickly and the Food Standards Agency has used Twitter data to predict norovirus outbreaks.†The 2020 coronavirus outbreak in Wuhan was first detected by an artificial intelligence called BlueDot (Niiler, 2020). In the future, such systems could recommend appropriate measures be taken in advance of an urgent need.
Resource planning is an administrative task that depends on predictions of needs and usage. Tools like CourseSignals were originally designed for this. (Gasevic, Dawson & Siemens, 2015) Analytics also enable institutions to assess the use of existing resources, for example, whether use of the learning management system corresponds with improved learning outcomes. (Sclater, Peasgood and Mullan, 2016)
Examples and Articles
Optimal Resource Action Planning Analytics for Services Delivery Using Hiring, Contracting & Cross-Training of Various Skills
D. Subramanian, L. An. Published 2008. 2008 IEEE International Conference on Services Computing. "We address the problem of optimal resource action planning, which is faced by firms in the services business in the context of planning delivery of services with an expected demand outlook for various skills."
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