A Decision Support Methodology To Rank
Information Technology Projects
Author(s)
S. F. C. Pinho & N. F. F. Ebecken
Abstract
Struggling to improve the business decisions and to preserve their competitive
capacity, many organizations find in Information Technology (IT) projects, the
necessary support to manipulate their information by means of a more integrated
and fast form. Therefore, with the increasing demand for execution of IT projects
the organizations come across with the resources allocation conflict, carrying
them to evaluate the set of IT projects that should be executed and to define the
relative priority among them.
This paper presents a methodology that acts as an instrument of support to the
decision to prioritize IT projects. Hence, starting from a set of candidate projects,
a ranked list of projects is established in a systematic way, stressing the intensity
that a project is superior to others, and even projects which do not have their
execution recommended.
Data Mining, Multicriteria to Decision Analysis (MDA) and Experts Tacit
Knowledge Acquisition (KA) techniques were used, conjugating thus the
knowledge extracted from historical data (database of executed projects) and the
business experts knowledge, aspects that are considered essential for the decision
making process.
Keywords: projects ranking, Information Technology, Data Mining,
Multicriteria Decision Analysis.
1 Introduction
Usually the demand for resources to be allocated in the IT projects is larger than
its availability, compelling the organizations to evaluate the priority of each one
[1].
Keywords
projects ranking, Information Technology, Data Mining,
Multicriteria Decision Analysis.
Related Book
Other papers in this volume
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