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How a Swiss luxury retailer implements process mining to improve data-driven customer excellence

Journal
Journal of Information Technology Teaching Cases
ISSN
2043-8869
2043-8869
Type
journal article
Date Issued
2024
Author(s)
Eva Ritz  
;
Adrian Joas
;
Thiemo Wambsganss  
;
Roman Rietsche  
;
Jan Marco Leimeister  
DOI
10.1177/20438869241261399
Research Team
IWI6
Abstract
In today’s digital transformation era, process mining has emerged as a crucial technology, playing an integral part in the digital strategies of many organizations. Despite its significance, implementing process mining to leverage data-driven decision-making and boosting process efficiency presents notable challenges for such companies. This case study delves into the journey of the fictitious Swiss luxury retailer Elysian as they utilize process mining to derive data-driven insights on process inefficiencies and bottlenecks to increase their customer excellence for online retail procurement. The case highlights the capabilities of process mining for organizations. It is among the first to offer students hands-on guidance on process discovery, conformance, and enhancement using real-world data. Students take the role of Lisa Dister, Head of procurement in the business unit home care, who urgently requires improving process transparency after an unsatisfying internal audit result. This immersive experience helps students understand the application of process mining in high-volume data scenarios and equips them with skills in data literacy. Moreover, students are challenged to suggest recommendations for long-term process optimization and reflect on the effectiveness of process mining for tackling procurement issues.
Language
English
Keywords
Process Mining
Customer Excellence
Process Discovery
Data Literacy
Process Intelligence
HSG Classification
contribution to scientific community
Refereed
Yes
Start page
1
End page
9
Pages
9
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/120391
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

File(s)
Thumbnail Image
Name

JML_973.pdf

Size

1.62 MB

Format

Adobe PDF

Checksum (MD5)

1081dee0c3ed29966e2f434d5a0b257e

Support
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