Knowledge Management and Predictive Analytics in IT Project Risks IJTSRD


Knowledge management and predictive analytics are considered to be unusual partners in todays technology. However, they can be very good tools that would solve current problems in valuing data. Predictive analytics has now become one of the forecasting tools that is of huge help in information management. Its application in IT project development risk management is very important, where a lot of raw data is involved with risk analysis and prediction. The use of IT project risk management as supported by knowledge management KM will help increase the success rate of IT projects. Knowledge management will bring about additional value to the data needed. This paper presents the usage of KM and predictive analytics to increase the success ratings of projects by predicting the risks that might happen during project development. It explores how KM and predictive analytics can identify risks in IT project development and give recommendations in evaluating the risks that could affect successful completion of IT projects.

Mia Torres-Dela Cruz | Subashini A/P Ganapathy | Noor Zuhaili Binti Mohd Yasin “Knowledge Management and Predictive Analytics in IT Project Risks”

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advanced Engineering and Information Technology , November 2018,

URL: https://www.ijtsrd.com/papers/ijtsrd19142.pdf

Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/19142/knowledge-management-and-predictive-analytics-in-it-project-risks/mia-torres-dela-cruz

call for paper Agricultural Engineering, international journal Chemical Engineering, ugc approved journals for engineering




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