Research Interests

Business Intelligence & Analytics (Self-Service)
Artificial Intelligence & Machine Learning
Intelligent User Interface Design & Human-Computer Interaction
Industry Applications of Analytical Methods

Projects

Explainable Business Intelligence & Analytics (Bosch)

CV

2015 - 2018	Bachelor of Science in Business Informatics (University of Mannheim)
01/2019 - 02/2020	Working Student Data Analyst for Logistics at the Robert Bosch GmbH
02/2020 - 10/2020	Working Student Business Analysts at the Robert Bosch GmbH
2019 - 2021	Master of Science in Information Systems (Karlsruhe Institute of Technology)
seit 10/2021	Doctoral Researcher at KIT, human-centered systems lab

Publications

Designing for Effective Human-Guided Machine Learning Feasibility Analysis
Gunklach, J.; Nadj, M.; Knaeble, M.; Bragaglia, I.; Mädche, A.
2024. Human Technology Interaction : International Conference on Information Systems, 1–17, AIS eLibrary (AISeL)

Guidance for the Effective Use of Business Intelligence and Analytics Systems. PhD dissertation
Gunklach, J.
2024, October 9. Karlsruher Institut für Technologie (KIT)

Designing an Analytical Control Chart System with ML-predicted Quality Characteristics
Schelhorn, T. C.; Gunklach, J.; Maedche, A.
2023. LWDA 2023 : Lernen, Wissen, Daten, Analysen 2023. Ed.: M. Leyer, 14–27, RWTH Aachen

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

Guidance in Business Intelligence & Analytics Systems: A Review and Research Agenda
Gunklach, J.; Nadj, M.
2023. ECIS 2023 Proceedings, AIS eLibrary (AISeL)

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)