Sven Michalczyk

M. Sc. Sven Michalczyk

  • Karlsruhe Institute of Technology (KIT)
    Institute of Information Systems and Marketing (IISM)
    Kaiserstraße 89
    76133 Karlsruhe

    Sven Michalczyk

Research Interests

  • Business Intelligence & Analytics (Self-Service)
  • Data Science Methods
  • Machine Learning & Model Deployment
  • Industry Applications of Analytical Methods

Short CV

06/2019 – ongoing:

Doctoral Researcher at KIT in ”Self-Service Business Intelligence and Analytics”-Industry Project together with the Robert Bosch GmbH

05/2018 – 05/2019:

Data Scientist at the Robert Bosch GmbH, Business Unit Indirect Purchasing

10/2015 – 04/2018:

M.Sc. Information Engineering and Management at the Karlsruher Institute of Technology (KIT)

10/2014 – 09/2015:

Key Account Manager at (Website Personalization Solutions)

10/2011 – 09/2014:

B.A. Digital Media at DHBW Mannheim in Cooperation with (Online Marketing Agency)


Thesis Projects


  • Winter 2020/2021: Business Intelligence Systems (Master's level, Capstone Project)
  • Winter 2019/2020: Business Intelligence Systems (Master's level, Capstone Project)



Metadata Extraction from User Queries for Self-Service Data Lake Exploration
Gunklach, J.; Michalczyk, S.; Nadj, M.; Maedche, A.
2023. Datenbank-Spektrum, 23, 97–105. doi:10.1007/s13222-023-00448-z
Beyond Dashboards? Designing Data Stories for Effective Use in Business Intelligence and Analytics
Gunklach, J.; Jacob, K.; Michalczyk, S.
2023. ECIS 2023 Proceedings, AIS eLibrary (AISeL)
Role-specific self-service business intelligence & analytics systems in the data science lifecycle. PhD dissertation
Michalczyk, S.
2022, September 20. Karlsruher Institut für Technologie (KIT)
Designing a Self-Service Analytics System for Transportation Supplier Selection
Michalczyk, S.; Breitling, N.; Mädche, A.
2022. Intelligent Information Systems : CAiSE Forum 2022, Leuven, Belgium, June 6–10, 2022, Proceedings. Ed.: J. De Weerdt, 64–72, Springer
Designing a Self-service Analytics System for Supply Base Optimization
Michalczyk, S.; Nadj, M.; Beier, H.; Mädche, A.
2021. CAiSE ’21- 33rd International Conference on Advanced Information Systems Engineering, MELBOURNE, 28 JUNE 2021 - 2 JULY 2021, 154–161. doi:10.1007/978-3-030-79108-7_18
Demystifying Job Roles in Data Science: A Text Mining Approach
Michalczyk, S.; Nadj, M.; Mädche, A.; Gröger, C.
2021. ECIS 2021 Proceedings - European Conference on Information Systems. Human Values Crisis in a Digitizing World, Paper Number: 1622, Association for Information Systems (AIS)
Designing an Analytical Information Systems Engineering Method
Michalczyk, S.; Scheu, S.
2020. Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference (Marrakesh, Marokko), June 15-17, 2020, Art.Nr. 57, AIS eLibrary (AISeL)
A State-of-the-Art Overview and Future Research Avenues of Self-Service Business Intelligence and Analytics
Michalczyk, S.; Nadj, M.; Azarfar, D.; Mädche, A.; Gröger, C.
2020. Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference (Marrakesh, Marokko), June 15-17, 2020, Art.Nr. 46, AIS eLibrary (AISeL)
BrownieR - The R-Package for Neuro Information Systems Research
Michalczyk, S.; Jung, D.; Nadj, M.; Knierim, M.; Rißler, R.
2018. Information systems and neuroscience : NeuroIS Retreat 2018, [Wien, 19.-21.06.2018]. Ed.: Fred D. Davis, 101–109, Springer. doi:10.1007/978-3-030-01087-4_12