Research Article
Mining IT Job-Order Services: Basis for Policy Formulation & IT Resource Allocation
@INPROCEEDINGS{10.1007/978-3-319-98752-1_11, author={Alvin Virata and Jasmin Niguidula}, title={Mining IT Job-Order Services: Basis for Policy Formulation \& IT Resource Allocation}, proceedings={Big Data Technologies and Applications. 8th International Conference, BDTA 2017, Gwangju, South Korea, November 23--24, 2017, Proceedings}, proceedings_a={BDTA}, year={2018}, month={11}, keywords={Predictive analytics Resource management Policy improvements}, doi={10.1007/978-3-319-98752-1_11} }- Alvin Virata
Jasmin Niguidula
Year: 2018
Mining IT Job-Order Services: Basis for Policy Formulation & IT Resource Allocation
BDTA
Springer
DOI: 10.1007/978-3-319-98752-1_11
Abstract
As the computer hardware have been globally accepted in the areas of industry and education, the IT Job- Order Service Delivery are now becoming very essential part in the resources management. With fast-paced technology development, decision makers require a valid reporting IT resources management [1]. IT resources were expected to be fully maintained to ensure the long-term life span of the computer hardware and devices. Further, having an IT Resource Management System or Software will not be sufficient since maintenance and repairs may probably be a burden to the budget allocation when there is a demand for IT infrastructure development or innovation [2]. Determining the instances of IT Job Order Services, its trends of repairs and services conducted has a significant implication to the decision makers. Using a predictive analytics of the data sets in the IT Job-Order services, could be a basis for revising the policy and IT resource allocation.
