Abstract
The paper presents an overview of a corporate initiative aiming to implement process mining methodology in one of the largest Polish commercial banks. This undertaking was started several years ago as a small experimental project and resulted in a creation of a robust process mining framework relying on commercial tools. Our paper presents an overview of the above process, describing key developments and summarizing insights that the organization has been able to gather.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
The first software process mining tool purchased by the bank was a Lana Labs solution (the company was later acquired by Appian [9]). In the long run it proved to be ineffective, mostly due to insufficient analysis capabilities, especially w.r.t. large data volumes and limited customization options. Therefore this solution was phased out and replaced with Processifier process mining software [10], which is being used currently.
- 2.
An application refers here to bank customer application such as credit application, or a compliant.
References
Van Der Aalst, W.: Process mining: a research agenda. Comput. Ind. 53, 231–244 (2004). https://doi.org/10.1016/j.compind.2003.10.001
Van Der Aalst, W.: Data Science in Action, pp. 3–23. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49851-4
The landscape picture of Process Mining. https://www.processmining.org/overview.html. Accessed 25 May 2024
Polaris Market Research. https://www.polarismarketresearch.com/industry-analysis/process-mining-software-market. Accessed 25 May 2024
Neo4j: Graphs for everyone. https://github.com/neo4j/neo4j. Accessed25 May 2024
Graph Query Language Cypher. https://neo4j.com/product/cypher-graph-query-language/. Accessed 25 May 2024
Francis, N., et al.: Cypher: An evolving query language for property graphs. In Proceedings of SIGMOD 2001 (2018). https://doi.org/10.1145/3183713.3190657
2019 International Conference on Process Mining (ICPM), IEEE, Aachen, Germany, (2019). https://doi.org/10.1109/ICPM.2019.00031
Appian acquires Lana Labs. https://appian.com/about/explore/press-releases/2021/appian-acquires-leading-process-mining-company. Accessed 25 May 2024
Processifier Process Mining. https://www.processifier.com. Accessed 25 May 2024
Suriadi, S., et al.: Event log imperfection patterns for process mining: towards a systematic approach to cleaning event logs. Inf. Syst. 64, 132–150 (2017). ISSN 0306-4379
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Gawrysiak, P., Romanowski, T., Kacprzak, O., Żbikowski, K. (2024). Implementing a Process Mining Framework in a Large Commercial Bank Lessons Learned. In: Di Ciccio, C., et al. Business Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum. BPM 2024. Lecture Notes in Business Information Processing, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-031-70445-1_32
Download citation
DOI: https://doi.org/10.1007/978-3-031-70445-1_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-70444-4
Online ISBN: 978-3-031-70445-1
eBook Packages: Computer ScienceComputer Science (R0)