PM ^2 : A Process Mining Project Methodology

@inproceedings{Eck2015PM,
  title={PM ^2 : A Process Mining Project Methodology},
  author={Maikel L. van Eck and Xixi Lu and Sander J. J. Leemans and Wil M.P. van der Aalst},
  booktitle={CAiSE},
  year={2015}
}
Process mining aims to transform event data recorded in information systems into knowledge of an organisation’s business processes. The results of process mining analysis can be used to improve process performance or compliance to rules and regulations. However, applying process mining in practice is not trivial. In this paper we introduce PM\(^2\), a methodology to guide the execution of process mining projects. We successfully applied PM\(^2\) during a case study within IBM, a multinational… 
View via Publisher
processmining.org
165 Citations
Highly Influential Citations
25
Background Citations
39
Methods Citations
60
Results Citations
2

165 Citations

Citation Type

Citation Type

Control Metrics Evaluation Model for Business Processes using Process Mining
TLDR
A model is proposed that allows the evaluation of the performance and behaviour of business processes through a set of control metrics and six control metrics were analyzed in the logistic process of a Peruvian retail enterprise.
Process mining in logistics: The need for rule-based data abstraction
  • R. V. Cruchten, H. Weigand
  • Business, Computer Science
    2018 12th International Conference on Research Challenges in Information Science (RCIS)
  • 2018
TLDR
This paper proposes several data preparation methods that apply logistic domain knowledge for process mining the material movements within an organization and an adapted process mining project methodology is presented that explicitly includes these preparation methods.
Design of a Process Mining Alignment Method for Building Big Data Analytics Capabilities
TLDR
This paper addresses the research gap on process mining by using the design science research approach to develop a process mining alignment method that supports companies mapping their individual technical requirements of process mining to their underlying organizational resources.
Modelling of Processes with Use of Process Mining Techniques
TLDR
Presentation of new opportunities for process modelling are presented and introduction of relatively young research discipline – process mining – is presented.
Towards a Comprehensive Methodology for Process Mining (short paper)
TLDR
This position paper sketches the first steps to be taken toward a standard methodology for process mining.
Process Mining Possibilities and Challenges: A Case Study
TLDR
A solution for conducting discovery and enhancement types of process mining, alongside with social network mining is presented, based on the comparison of two most prominent process mining tools against their technical and performance features.
Guided Process Discovery Approach According to Business Process Types
TLDR
It is demonstrated that business process types can guide the process discovery technique in generating process models using process mining to deal with the challenge of process mining.
Process Mining in IT Service Management: A Case Study
TLDR
An exploratory analysis of real life event logs generated between 2012 and 2015 is described, in four different processes designed within an IT platform, of the way of handling the different requests and incidents registered in an organization.
Model Consolidation: A Process Modelling Method Combining Process Mining and Business Process Modelling
TLDR
This model provides a map upon which is done the analysis of the process state, prediction of its evolution and simulation of the impact of the change to be undertaken for improving the process.
Business process analysis in advertising: An extension to a methodology based on process mining projects
TLDR
In this work different process mining techniques are applied to a company dedicated to the advertisement market, specifically the process of dealing with contract issues with customers.
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 20 REFERENCES
Process Diagnostics: A Method Based on Process Mining
TLDR
This paper proposes a methodology to perform process diagnostics, based on process mining, that gives a broad overview of the organization's process(es) within a short period of time.
Process Mining - Discovery, Conformance and Enhancement of Business Processes
TLDR
This book provides real-world techniques for monitoring and analyzing processes in real time and is a powerful new tool destined to play a key role in business process management.
Business process analysis in healthcare environments: A methodology based on process mining
Understanding Process Behaviours in a Large Insurance Company in Australia: A Case Study
TLDR
This case study validated existing 'lessons learned' from other similar case studies, but also added new insights that can be beneficial to other practitioners in applying process mining in their respective fields.
Supporting proces mining by showing events at a glance
TLDR
The dotted chart is proposed that shows overall process events at a glance in a graphical way such that the analyst gets a "helicopter view" of the process and is able to immediately spot opportunities for process improvement.
A General Framework for Correlating Business Process Characteristics
TLDR
This paper shows how the desired process characteristics can be derived and linked to events and shows that the selected dependent characteristic from a set of independent characteristics for a selected set of events.
Wanna improve process mining results?
TLDR
This paper identifies four categories of process characteristics issues that may manifest in an event log and 27 classes of event log quality issues and hopes that these findings will encourage systematic logging approaches, repair techniques, and analysis techniques to deal with the manifestation ofprocess characteristics in event logs.
Abstractions in Process Mining: A Taxonomy of Patterns
TLDR
The proposed approaches are shown to identify promising patterns and conceptually-valid abstractions on a real-life log that have multiple applications such as trace clustering, fault diagnosis/anomaly detection besides being an enabler for hierarchical process discovery.
XES, XESame, and ProM 6
TLDR
Two tools that use the eXtensible Event Stream format are presented - XESame and ProM 6 - and the main innovations and the role of XES are highlighted.
A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs
...
1
2
...