Process and Organizational Data Integration from BPMS and Relational/NoSQL Sources for Process Mining

Andrea Delgado, Daniel Calegari

2022

Abstract

Business Process execution analysis is crucial for organizations to evaluate and improve them. Process mining provides the means to do so, but several challenges arise when dealing with data extraction and integration. Most scenarios consider implicit processes in support systems, with the process and organizational data being analyzed separately. Nowadays, many organizations increasingly integrate process-oriented support systems, such as BPMS, where process data execution is registered within the process engine database and organizational data in distributed potentially heterogeneous databases. They can follow the relational model or NoSQL ones, and organizational data can come from different systems, services, social media, or several other sources. Then, process and organizational data must be integrated to be used as input for process mining tasks and provide a complete view of the operation to detect and make improvements. In this paper, we extend previous work to support the collection of process and organizational data from heterogeneous sources, the integration of these data, and the automated generation of XES event logs to be used as input for process mining.

Paper Citation

in Harvard Style

Delgado A. and Calegari D. (2022). Process and Organizational Data Integration from BPMS and Relational/NoSQL Sources for Process Mining. In Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-588-3, pages 557-566. DOI: 10.5220/0011322500003266

in Bibtex Style

@conference{icsoft22,
author={Andrea Delgado and Daniel Calegari},
title={Process and Organizational Data Integration from BPMS and Relational/NoSQL Sources for Process Mining},
booktitle={Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2022},
pages={557-566},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011322500003266},
isbn={978-989-758-588-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Process and Organizational Data Integration from BPMS and Relational/NoSQL Sources for Process Mining
SN - 978-989-758-588-3
AU - Delgado A.
AU - Calegari D.
PY - 2022
SP - 557
EP - 566
DO - 10.5220/0011322500003266