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Accelerating Business Transformation With Process Mining Centers of Excellence (CoEs)

Title data

Reinkemeyer, Lars ; Grindemann, Philipp ; Egli, Vanessa ; Röglinger, Maximilian ; Marcus, Laura ; Fabri, Lukas:
Accelerating Business Transformation With Process Mining Centers of Excellence (CoEs).
2022

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Wertorientiertes ProzessmanagementNo information

Abstract in another language

The global adoption of process mining has sharply increased over the past few
years, with an ever-growing number of companies around the globe launching
initiatives that leverage this powerful technology.
We have reached the stage where the ‘why’ of pursuing process mining is clear,
and the insights that process mining uncovers are recognised as being a crucial
lever in the process transformation agenda. What’s more, most companies who
have adopted this technology have successfully managed to connect multiple
processes, gain insights, and realize value.
However, little guidance is available on how best to scale process mining at the
enterprise level — across multiple functions and teams — and therefore move
successfully towards large-scale value realization and end-to-end process
transformation.
To better understand the status quo of process mining inside organizations as
well as to provide best practices and recommendations on how to drive scale,
Celonis and Fraunhofer FIT have conducted a joint study on Centers of Excellence
(CoE) for process mining.
The results of this study are summarized here and enriched with expert
knowledge from both the Celonis Customer Transformation Advisory Team and
Fraunhofer FIT´s Center for Process Intelligence. Our purpose in publishing this
study is to share key learnings and shed light on various aspects of Centers of
Excellence, such as key success factors, value proposition, operating model and
organizational setup.

Further data

Item Type: Other (Other)
Keywords: Center of Excellence; Process Mining
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 24 May 2022 10:50
Last Modified: 25 May 2022 06:28
URI: https://eref.uni-bayreuth.de/id/eprint/69694