Author(s)

S. F. C. Pinho & N. F. F. Ebecken

Abstract

This paper presents a methodology that acts as an instrument to support the decision process of Information Technology (IT) projects prioritization. Data Mining, Multicriteria to Decision Analysis (MDA), Experts Tacit Knowledge Acquisition (KA) and Risk Analysis techniques were used, conjugating thus the knowledge extracted from historical data (database of executed projects), business experts’ knowledge and Risk Analysis in accordance with the best practices of Project Management International (PMI). Hence, starting from a set of candidates, a ranked list of projects is established in a systematic way, stressing the intensity that a project is more qualified then the others. The methodology indicates the aspects that are considered essential for the decision making process, even for the projects which do not have their execution recommended. A case study is presented and some conclusions were commented. Keywords: projects ranking, information technology, data mining, multicriteria decision analysis, risk analysis.

Keywords

projects ranking, information technology, data mining, multicriteria decision analysis, risk analysis.