process analysis with process mining
TRANSCRIPT
Process Analysis with Process Mining
Gröschel, Stand: 09.07.2016
MLP Finanzdienstleistungen AG Oliver Wildenstein Expert IT-Governance, -Compliance and Process Management Alte Heerstraße 40 D-69168 Wiesloch Phone: +49 (0)6222 308 2971 E-Mail: [email protected] www.mlp.de
Mannheim University of Applied Sciences Prof. Thomas Smits Prof. Dr. Michael Gröschel Department of Computer Science Paul-Wittsack-Straße 10 D-68163 Mannheim Phone: +49 (0)621 292 6764 E-Mail: [email protected] [email protected] www.informatik.hs-mannheim.de
Analysis Dashboard (tool: Celonis)
The project has been implemented by Marcel Eberling, Matthias König, Giang Pham, Daniel Schneider and Maximilian Zittel, students of the BSc course enterprise computing (in winter semester 2015/16).
Process mining is a technology from the field of business process management, it creates and analyzes business processes on the basis of digital traces in IT systems. Unlike conventional business process analysis, process mining uses event logs to automatically generate a process model. That gives a detailed overview about all the process instances. Potential bottlenecks during the process flow can be detected in the analysis. In the project described, a change management process in co-operation with the MLP Finanzdienst-leistungen AG has been analyzed. The most common tools were used and further-more compared in detail.
Initial Situation Many companies have established business processes that do not correspond with the desired target processes. Therefore, analyses aim to detect weak spots in such processes. Long waiting and pass-through times or the repetition of activities can interfere with the process flow and reduce the associated customer satisfaction. Also problematic are deviations caused by compliance aspects in predetermined procedures. In total, the change management process for the adaption of IT systems from MLP was satisfying but the process owner wanted to objectify and complete his impression by using analytical results.
Possible Solution “Process Mining” The process workflows are usually logged within IT systems. Traces left behind can be found in the event logs. Process mining tools analyze these protocols, visualize the actual procedures (actual processes), and allow various different analyses and evaluations of anomalies, pass-through times, variations and others. A conformance check compares the target process with the actual procedures. As a result, the conformity gives a degree of consistency between the desired processes and the actual implemented activities. All members of the project team participated in an online course offered by coursera (MOOC) as an initial training on the topic.
Objectives The project scope contained the following essential points: Preparation and optimization of the event logs
provided by MLP. Performing analysis in annual comparison in
terms of anomalies and conformity with standards such as ITIL and COBIT.
Working with process mining tools and comparison of different tools.
Creating templates for the tools to repeat similar analyses.
Project Management With changing requirements, for example the design of reports, which evolved during the project and also the new topic of process mining, the project team decided to use Scrum as an iterative method. As a first step, different team rules have been defined as well as ways of communication within the project team. Then this was documented in the project manual. Furthermore it was important to keep contact to MLP to constantly adapt and prioritize the requirements. At the same time the project members participated at workshops for team building.
Process Mining Tools The analysis was done with different common process mining tools. The tools Celonis, Disco and ProM were evaluated and compared in terms of features and functions, usability, and integration options. The tools can use event logs to create an actual model as a so-called fuzzy model. This provides a descriptive visualization of the process and serves as a foundation for the evaluation and analysis. ProM has an academic focus and offers various
possibilities for the process analysis. Such as the offer and parameterization of different mining methods, the conversion between models (Petri nets and BPMN), and the visualization of analysis results. By using plug-ins, this can be extended as desired.
Disco is easy to operate and offers various possibilities for filtering data. Dashboards allow you to identify important ratios and display them constantly.
Celonis has its focus on creating dashboards with different complexities, using a wide range of adaptabilities and filter options. The tool offers a linking to productive systems with a real-time analysis.
Results In addition to the project manual and the specifications document, a document with the results about process mining has been acquired. The created templates in the form of filter-recipes, dashboards, automated process model generation and their related manuals aid the customer to use process mining for future process analysis. The results of the analyses can furthermore be used as a foundation for the customers’ process optimization. The comparison of the tools offers MLP a base for the selection of the proper tool for a widespread and long-term usage.
Further information IEEE CIS Task Force on Process Mining (Hrsg.):
Process Mining Manifesto, http://www.win.tue.nl/ ieeetfpm/doku.php?id=shared:process_mining_ manifesto
Coursera-MOOC on Process Mining: https://www.coursera.org/course/procmin
Tool ProM: http://www.promtools.org/ Tool Disco: https://fluxicon.com/disco/ Tool Celonis: http://www.celonis.de/
Process Analysis with Process Mining
Gröschel, Stand: 09.07.2016
MLP Finanzdienstleistungen AG Oliver Wildenstein Expert IT-Governance, -Compliance and Process Management Alte Heerstraße 40 D-69168 Wiesloch Phone: +49 (0)6222 308 2971 E-Mail: [email protected] www.mlp.de
Mannheim University of Applied Sciences Prof. Thomas Smits Prof. Dr. Michael Gröschel Department of Computer Science Paul-Wittsack-Straße 10 D-68163 Mannheim Phone: +49 (0)621 292 6764 E-Mail: [email protected] [email protected] www.informatik.hs-mannheim.de
Analysis Dashboard (tool: Celonis)
The project has been implemented by Leontina Baitinger, Timo Höfler, Hunar Mawlod, Timo Neu-mann and Nils Viertler, students of the BSc course enterprise computing (in winter semester 2015/16).
Process mining is a technology from the field of business process management, it creates and analyzes business processes on the basis of digital traces in IT systems. Unlike conventional business process analysis, process mining uses event logs to automatically generate a process model. That gives a detailed overview about all the process instances. Potential bottlenecks during the process flow can be detected in the analysis. In the project described, a change management process in co-operation with the MLP Finanzdienst-leistungen AG has been analyzed. The most common tools were used and further-more compared in detail.
Initial Situation Many companies have established business processes that do not correspond with the desired target processes. Therefore, analyses aim to detect weak spots in such processes. Long waiting and pass-through times or the repetition of activities can interfere with the process flow and reduce the associated customer satisfaction. Also problematic are deviations caused by compliance aspects in predetermined procedures. In total, the change management process for the adaption of IT systems from MLP was satisfying but the process owner wanted to objectify and complete his impression by using analytical results.
Possible Solution “Process Mining” The process workflows are usually logged within IT systems. Traces left behind can be found in the event logs. Process mining tools analyze these protocols, visualize the actual procedures (actual processes), and allow various different analyses and evaluations of anomalies, pass-through times, variations and others. A conformance check compares the target process with the actual procedures. As a result, the conformity gives a degree of consistency between the desired processes and the actual implemented activities. All members of the project team participated in an online course offered by coursera (MOOC) as an initial training on the topic.
Objectives The project scope contained the following essential points: Preparation and optimization of the event logs
provided by MLP. Performing analysis in annual comparison in
terms of anomalies and conformity with standards such as ITIL and COBIT.
Working with process mining tools and comparison of different tools.
Creating templates for the tools to repeat similar analyses.
Project Management With changing requirements, for example the design of reports, which evolved during the project and also the new topic of process mining, the project team decided to use Scrum as an iterative method. As a first step, different team rules have been defined as well as ways of communication within the project team. Then this was documented in the project manual. Furthermore it was important to keep contact to MLP to constantly adapt and prioritize the requirements. At the same time the project members participated at workshops for team building.
Process Mining Tools The analysis was done with different common process mining tools. The tools Celonis, Disco and ProM were evaluated and compared in terms of features and functions, usability, and integration options. The tools can use event logs to create an actual model as a so-called fuzzy model. This provides a descriptive visualization of the process and serves as a foundation for the evaluation and analysis. ProM has an academic focus and offers various
possibilities for the process analysis. Such as the offer and parameterization of different mining methods, the conversion between models (Petri nets and BPMN), and the visualization of analysis results. By using plug-ins, this can be extended as desired.
Disco is easy to operate and offers various possibilities for filtering data. Dashboards allow you to identify important ratios and display them constantly.
Celonis has its focus on creating dashboards with different complexities, using a wide range of adaptabilities and filter options. The tool offers a linking to productive systems with a real-time analysis.
Results In addition to the project manual and the specifications document, a document with the results about process mining has been acquired. The created templates in the form of filter-recipes, dashboards, automated process model generation and their related manuals aid the customer to use process mining for future process analysis. The results of the analyses can furthermore be used as a foundation for the customers’ process optimization. The comparison of the tools offers MLP a base for the selection of the proper tool for a widespread and long-term usage.
Further information IEEE CIS Task Force on Process Mining (Hrsg.):
Process Mining Manifesto, http://www.win.tue.nl/ ieeetfpm/doku.php?id=shared:process_mining_ manifesto
Coursera-MOOC on Process Mining: https://www.coursera.org/course/procmin
Tool ProM: http://www.promtools.org/ Tool Disco: https://fluxicon.com/disco/ Tool Celonis: http://www.celonis.de/