The
IEEE Task Force on Process Mining (TFPM) is a non-commercial association for
process mining. The IEEE (Institute of Electrical and Electronics Engineers) Task Force on Process Mining was established in October 2009 as part of the IEEE Computational Intelligence Society at the
Eindhoven University of Technology.
The task force is supported by over 80 organizations and has around 750 members. The main goal of the task force is to promote the research, development, education, and understanding of
process mining.
Goals
The goals of the Task Force on Process Mining include:
* promote the research, development, education and understanding of process mining
* make end-users, developers, consultants, and researchers aware of the state-of-the-art in process mining
* promote the use of process mining techniques and tools and stimulate new applications
* play a role in standardization efforts for logging event data (e.g., XES)
* organize tutorials, special sessions, workshops, competitions, and panels
* develop material (papers, books, online courses, movies, etc.) to inform and guide people new to the field
Activities and organization
The Task Force on Process Mining has a
Steering Committee and an
Advisory Board
An advisory board is a body that provides non-binding strategic advice to the management of a corporation, organization, or foundation. The informal nature of an advisory board gives greater flexibility in structure and management compared to th ...
. The
Steering Committee, chaired by
Wil van der Aalst since its inception in 2009, defined 15 action lines. These include the organization of the annual ''International Process Mining Conference'' (ICPM) series, standardization efforts leading to the IEEE XES standard for storing and exchanging event data, and the Process Mining Manifesto which was translated into 16 languages. The Task Force on Process Mining also publishes a
newsletter
A newsletter is a printed or electronic report containing news concerning the activities of a business or an organization that is sent to its members, customers, employees or other subscribers. Newsletters generally contain one main topic of int ...
, provides data sets, organizes workshops and competitions, and connects
researchers and practitioners.
In 2016, the IEEE Standards Association published the IEEE Standard for Extensible Event Stream (XES), which is a widely accepted file format by the process mining community.
Supporting organizations
The Task Force on Process Mining is supported by most of the process mining vendors (e.g.,
Celonis
Celonis SE is an American-German data processing company that offers software as a service (SaaS) to improve business processes. It is headquartered in Munich, Germany and New York, United States.
History
Celonis was founded in 2011 by Ale ...
, Fluxicon,
UiPath, QPR,
ABBYY, LANA, Logpicker, Minit, Myinvenio, PAFnow,
Signavio
Signavio is a vendor of Business Process Management (BPM) software based in Berlin and Silicon Valley. Its main product is Signavio Process Manager, a web-based business process modeling tool. The company was acquired by SAP in March 2021 for 950 ...
and Software AG), consultancy firms (
KPMG
KPMG International Limited (or simply KPMG) is a multinational professional services network, and one of the Big Four accounting organizations.
Headquartered in Amstelveen, Netherlands, although incorporated in London, England, KPMG is a net ...
,
Deloitte, etc.), universities (e.g., RWTH, TU/e, QUT, UniBZ, and DTU), research institutes (e.g., Fraunhofer FIT), and organizations using process mining at a large scale (e.g.,
ABB, Bosch, and
Siemens
Siemens AG ( ) is a German multinational conglomerate corporation and the largest industrial manufacturing company in Europe headquartered in Munich with branch offices abroad.
The principal divisions of the corporation are ''Industry'', '' ...
).
In total, over 80 organizations support the task force and there are around 750 individual members.
See also
*
Process mining
*
Business process management
Official website
References
Further reading
*
Aalst, W. van der (2016). Process Mining: Data Science in Action. Springer Verlag, Berlin ().
* Reinkemeyer, L. (2020). Process Mining in Action: Principles, Use Cases and Outlook. Springer Verlag, Berlin ({{ISBN, 978-3-030-40171-9).
* IEEE Task Force on Process Mining. Process Mining Manifesto. In F. Daniel, K. Barkaoui, and S. Dustdar, editors, Business Process Management Workshops, volume 99 of Lecture Notes in Business Information Processing, pages 169–194. Springer-Verlag, Berlin, 2012 (open access). https://link.springer.com/chapter/10.1007%2F978-3-642-28108-2_19
Information science
Computer occupations
Computational fields of study
Data analysis