A Methodology for Integrated Process and Data Mining and Analysis towards Evidence-based Process Improvement

Andrea Delgado, Daniel Calegari, Adriana Marotta, Laura González, Libertad Tansini

2021

Abstract

The socio-technical system supporting an organization’s daily operations is becoming more complex, with distributed infrastructures integrating heterogeneous technologies enacting business processes and connecting devices, people, and data. This situation promotes large amounts of data in heterogeneous sources, both from their business processes and organizational data. Obtaining valuable information and knowledge from this is a challenge to make evidence-based improvements. Process mining and data mining techniques are very well known and have been widely used for many decades now. However, although there are a few methodologies to guide mining efforts, there are still elements that have to be defined and carried out project by project, without much guidance. In previous works, we have presented the PRICED framework, which defines a general strategy supporting mining efforts to provide organizations with evidence-based business intelligence. In this paper, we refine such ideas by presenting a concrete methodology. It defines phases, disciplines, activities, roles, and artifacts needed to provide guidance and support to navigate from getting the execution data, through its integration and quality assessment, to mining and analyzing it to find improvement opportunities.

Paper Citation

in Harvard Style

Delgado A., Calegari D., Marotta A., González L. and Tansini L. (2021). A Methodology for Integrated Process and Data Mining and Analysis towards Evidence-based Process Improvement. In Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-523-4, pages 426-437. DOI: 10.5220/0010607004260437

in Bibtex Style

@conference{icsoft21,
author={Andrea Delgado and Daniel Calegari and Adriana Marotta and Laura González and Libertad Tansini},
title={A Methodology for Integrated Process and Data Mining and Analysis towards Evidence-based Process Improvement},
booktitle={Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2021},
pages={426-437},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010607004260437},
isbn={978-989-758-523-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - A Methodology for Integrated Process and Data Mining and Analysis towards Evidence-based Process Improvement
SN - 978-989-758-523-4
AU - Delgado A.
AU - Calegari D.
AU - Marotta A.
AU - González L.
AU - Tansini L.
PY - 2021
SP - 426
EP - 437
DO - 10.5220/0010607004260437