loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Wil M. P. van der Aalst

Affiliation: Process and Data Science (PADS), RWTH Aachen University, D-52056 Aachen, Germany

Keyword(s): Process Mining, Task Mining, Robotic Process Automation, Pareto Distribution.

Abstract: Process mining is able to reveal how people and organizations really function. Often reality is very different and less structured than expected. Process discovery exposes the variability of real-life processes. Conformance checking is able to pinpoint and diagnose compliance problems. Task mining exploits user-interaction data to enrich traditional event data. All these different forms of process mining can and should support Robotic Process Automation (RPA) initiatives. Process mining can be used to decide what to automate and to monitor the cooperation between software robots, people, and traditional information systems. In the process of deciding what to automate, the Pareto principle plays an important role. Often 80% of the behavior in the event data is described by 20% of the trace variants or activities. An organization can use such insights to “pick its automation battles”, e.g., analyzing the economic and practical feasibility of RPA opportunities before implementation. Thi s paper discusses how to leverage the Pareto principle in RPA and other process automation initiatives. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.217.140.224

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
van der Aalst, W. (2020). On the Pareto Principle in Process Mining, Task Mining, and Robotic Process Automation. In Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-440-4; ISSN 2184-285X, SciTePress, pages 5-12. DOI: 10.5220/0009979200050012

@conference{data20,
author={Wil M. P. {van der Aalst}.},
title={On the Pareto Principle in Process Mining, Task Mining, and Robotic Process Automation},
booktitle={Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA},
year={2020},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009979200050012},
isbn={978-989-758-440-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA
TI - On the Pareto Principle in Process Mining, Task Mining, and Robotic Process Automation
SN - 978-989-758-440-4
IS - 2184-285X
AU - van der Aalst, W.
PY - 2020
SP - 5
EP - 12
DO - 10.5220/0009979200050012
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic