Knowledge Management and Predictive Analytics in IT Project Risks

Subashini A/P Ganapathy; Noor Zuhaili Binti Mohd Yasin; Mia Torres-Dela Cruz

Title:
Knowledge Management and Predictive Analytics in IT Project Risks

Authors:
Mia Torres-Dela Cruz | Subashini A/P Ganapathy | Noor Zuhaili Binti Mohd Yasin
DOI:
https://doi.org/10.31142/ijtsrd19142

Cite This Article :

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, pp.209-216, URL: https://www.ijtsrd.com/papers/ijtsrd19142.pdf

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Abstract :
Knowledge management and predictive analytics are considered to be unusual partners in today’s 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.

Keywords :
Knowledge Management, Predictive Analytics, Big Data Analytics, Software Project, Risk Prediction

Publication Details:

Unique Identification Number : IJTSRD19142

Published In : Special Issue | International Conference on Advanced Engineering and Information Technology, November 2018

Page Number(s) : 209-216

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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