A Decision-Making Approach Combining Process Mining, Data Mining and Business Intelligence

Olfa Haj Ayed, Sonia Ghannouchi, Sonia Ghannouchi

2024

Abstract

In the era of Big Data, Process Mining (PM), Data Mining (DM) and Business Intelligence (BI) are essential analytical tools for companies. By intelligently exploiting big data, these approaches make it possible to extract valuable information. Although each has its own orientation, concepts, techniques and modes of visualization, these three disciplines converge towards a common goal: improving decision-making. This work proposes an innovative approach which consists in combining the strengths of PM, DM and BI within a powerful global dashboard. This centralized dashboard will bring together visualizations from all three domains, providing a holistic and interactive overview of key business data. By providing decision-makers with these information-rich visualizations, the study aims to facilitate and accelerate the decision-making process, thus allowing informed and responsive strategic choices.

Paper Citation

in Harvard Style

Haj Ayed O. and Ghannouchi S. (2024). A Decision-Making Approach Combining Process Mining, Data Mining and Business Intelligence. In Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-706-1, SciTePress, pages 450-457. DOI: 10.5220/0012852500003753

in Bibtex Style

@conference{icsoft24,
author={Olfa Haj Ayed and Sonia Ghannouchi},
title={A Decision-Making Approach Combining Process Mining, Data Mining and Business Intelligence},
booktitle={Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2024},
pages={450-457},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012852500003753},
isbn={978-989-758-706-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT
TI - A Decision-Making Approach Combining Process Mining, Data Mining and Business Intelligence
SN - 978-989-758-706-1
AU - Haj Ayed O.
AU - Ghannouchi S.
PY - 2024
SP - 450
EP - 457
DO - 10.5220/0012852500003753
PB - SciTePress