Authors:
Joana Pedrosa
1
;
Luís Magalhães
2
and
Ricardo Martinho
3
Affiliations:
1
ALGORITMI Center, University of Minho, Guimarães, Portugal
;
2
ALGORITMI Center / LASI, University of Minho, Guimarães, Portugal
;
3
INESCC - DL, ESTG, Polytechnic University of Leiria, Leiria, Portugal
Keyword(s):
Decision, Information System, Project Management, Process Mining, Success Factors, Decision Support System.
Abstract:
The management of Information Systems (IS) projects involves addressing complex challenges such as communication issues, resource allocation, time constraints, customer interaction and evolving requirements. A project manager faces, therefore, a significant number of decisions on the progress of these projects, based on the most important Success Factors (SF) that each project encloses. As far as we are aware, there is currently no automated solution capable of effectively tackling these challenges, forcing managers to depend on conventional approaches that often prove insufficient to provide the necessary support. This paper proposes an architecture for a Decision Support System (DSS) designed to enhance project success by providing project managers with recommendations. The DSS integrates Process Mining techniques with SF to suggest valuable insights for decision-making. The system proposed aims to optimize project decisional outcomes and can combine algorithms from Process Mining,
Data Mining, and Predictive Mining to enhance its recommendations.
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