Business process reporting using process mining, analytic workflows and process cubes: A case study in education

A.J. Bolt Iriondo, M. de Leoni, W.M.P. van der Aalst, P. Gorissen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)
6 Downloads (Pure)

Abstract

Business Process Intelligence (BPI) is an emerging topic that has gained popularity in the last decade. It is driven by the need for analysis techniques that allow businesses to understand and improve their processes. One of the most common applications of BPI is reporting, which consists on the structured generation of information (i.e., reports) from raw data. In this article, state-of-the-art process mining techniques are used to periodically produce automated reports that relate the actual performance of students of a Dutch University to their studying behavior. To avoid the tedious manual repetition of the same process mining procedure for each course, we have designed a workflow calling various process mining techniques using RapidProM. To ensure that the actual students’ behavior is related to their actual performance (i.e., grades for courses), our analytic workflows approach leverages on process cubes, which enable the dataset to be sliced and diced based on courses and grades. The article discusses how the approach has been operationalized and what is the structure and concrete results of the reports that have been automatically generated. Two evaluations were performed with lecturers using the real reports. During the second evaluation round, the reports were restructured based on the feedback from the first evaluation round. Also, we analyzed an example report to show the range of insights that they provide.

Original languageEnglish
Title of host publicationData-Driven Process Discovery and Analysis
Subtitle of host publication5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers
EditorsC. Paolo, R.-M. Stefanie
Place of PublicationDordrecht
PublisherSpringer
Pages28-53
Number of pages26
ISBN (Electronic)978-3-319-53435-0
ISBN (Print)978-3-319-53434-3
DOIs
Publication statusPublished - 2017
Event5th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2015 - Vienna, Austria
Duration: 9 Dec 201511 Dec 2015
Conference number: 5

Publication series

NameLecture Notes in Business Information Processing
Volume244
ISSN (Print)18651348

Conference

Conference5th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2015
Abbreviated titleSIMPDA 2015
Country/TerritoryAustria
CityVienna
Period9/12/1511/12/15

Keywords

  • Analytic workflows
  • Business process reporting
  • Education
  • Process cubes
  • Process mining

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