Towards a Data Science Framework Integrating Process and Data Mining for Organizational Improvement

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

2020

Abstract

Organizations face many challenges in obtaining information and value from data for the improvement of their operations. For example, business processes are rarely modeled explicitly, and their data is coupled with business data and implicitly managed by the information systems, hindering a process perspective. This paper presents a proposal of a framework that integrates process and data mining techniques and algorithms, process compliance, data quality, and adequate tools to support evidence-based process improvement in organizations. It aims to help reduce the effort of identification and application of techniques, methodologies, and tools in isolation for each case, providing an integrated approach to guide each operative phase, which will expand the capabilities of analysis, evaluation, and improvement of business processes and organizational data.

Paper Citation

in Harvard Style

Delgado A., Marotta A., González L., Tansini L. and Calegari D. (2020). Towards a Data Science Framework Integrating Process and Data Mining for Organizational Improvement.In Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-443-5, pages 492-500. DOI: 10.5220/0009875004920500

in Bibtex Style

@conference{icsoft20,
author={Andrea Delgado and Adriana Marotta and Laura González and Libertad Tansini and Daniel Calegari},
title={Towards a Data Science Framework Integrating Process and Data Mining for Organizational Improvement},
booktitle={Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2020},
pages={492-500},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009875004920500},
isbn={978-989-758-443-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Towards a Data Science Framework Integrating Process and Data Mining for Organizational Improvement
SN - 978-989-758-443-5
AU - Delgado A.
AU - Marotta A.
AU - González L.
AU - Tansini L.
AU - Calegari D.
PY - 2020
SP - 492
EP - 500
DO - 10.5220/0009875004920500