Towards a Multi-parametric Visualisation Approach for Business Process Analytics

Stefan Bachhofner, Isabella Kis, Claudio Di Ciccio, Jan Mendling

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

Abstract

Visualisation is an integral part of many scientific areas and is reportedly an important tool for learning and teaching. One reason for this is the picture superior effect. Nevertheless, little research endeavour has been carried out so far to effectively apply visualisation principles to the emerging field of business process analytics. In this paper a novel multi-parametric visualisation approach is proposed in such a context. General visualisation principles are used to create, evaluate, and improve the approach in the design process. They are drawn from a wide range of fields, and are synthesised from theory and empirical evidence.
Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering Workshops
Subtitle of host publicationCAISE 2017 International Workshops, Essen, Germany, June 12–16, 2017, Proceedings
EditorsAndreas Metzger, Anne Persson
Place of PublicationCham
PublisherSpringer
Pages85-91
Number of pages7
Edition1
ISBN (Electronic)978-3-319-60048-2
ISBN (Print)978-3-319-60047-5
DOIs
Publication statusPublished - 3 Jun 2017

Publication series

NameLecture Notes in Business Information Processing
PublisherSpringer
Volume286

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