Business Process Modeling Techniques for Data Integration Conceptual Modeling

Ana Ribeiro, Bruno Oliveira, Óscar Oliveira

2025

Abstract

Data pipelines play a crucial role in analytical systems by managing the extraction, transformation, and loading of data to meet decision-making needs, however, due to the inherent complexity of data management. Despite their importance, the development of data pipelines is frequently carried out in an ad-hoc manner, lacking standardized practices that ensure consistency and coherence across implementations. In recent years, the Business Process Model and Notation (BPMN) has emerged as a powerful tool for conceptual modeling in diverse analytical and operational scenarios. BPMN offers an expressive framework capable of representing a wide range of data processing requirements, enabling structured and transparent design. This work explores the application of BPMN to data integration pipeline modeling, analyzing existing methodologies and proposing a standardized set of guidelines to enhance its use.

Paper Citation

in Harvard Style

Ribeiro A., Oliveira B. and Oliveira Ó. (2025). Business Process Modeling Techniques for Data Integration Conceptual Modeling. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 158-169. DOI: 10.5220/0013497800003929

in Bibtex Style

@conference{iceis25,
author={Ana Ribeiro and Bruno Oliveira and Óscar Oliveira},
title={Business Process Modeling Techniques for Data Integration Conceptual Modeling},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={158-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013497800003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Business Process Modeling Techniques for Data Integration Conceptual Modeling
SN - 978-989-758-749-8
AU - Ribeiro A.
AU - Oliveira B.
AU - Oliveira Ó.
PY - 2025
SP - 158
EP - 169
DO - 10.5220/0013497800003929
PB - SciTePress