Interactive Business Intelligence & Analytics Systems

 

Research Activities

 

Demystifying Job Roles in Data Science: A Text Mining Approach

The continuing proliferation of data science these days is causing organizations to reassess their workforce demands. Simultaneously, it is unclear what types of job roles, knowledge, skills, and abilities make up this field and how they differ. This ambiguity is generating a misleading myth around the data scientist’s role.

 

 

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Designing a Self-Service Analytics System for Supply Base Optimization

Reducing the number of suppliers – a process known as supply base optimization – is crucial for organizations to achieve better quality, higher service levels, and lower prices. The buyers in the role of the business analyst in corporate purchasing departments are responsible for this process and usually consider various selection criteria.

 

 

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Self-Service Data Provisioning and Preparation in Data Lakes

With the ongoing trend of building central data lakes in enterprises, it is unclear how data is replicated from source systems. Often, data analysts have to rebuild SAP transactions to analyze data from the central data lake. In doing so, they must identify column names from SAP in the data lake and join tables.

 

 

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Does This Explanation Help? How Lay Users Visually Attend, Trust, and Understand Local Explanations of Model-agnostic XAI Methods

Artificial Intelligence (AI) is playing an increasingly important role in high-stake domains. Nevertheless, the effectiveness of AI systems in these domains is limited by their inability to explain their decisions to human users. Recently, there has been a surge of interest in Explainable Artificial Intelligence (XAI) by researchers and practitioners seeking to increase the transparency of AI. In particular, extensive research in XAI has focused on developing model-agnostic methods that are capable of explaining local instances of any predictive model, which provides higher applicability and scalability due to their decoupling from the predictive model. However, the user perspective has played a less important role so far in XAI research resulting in a lack of understanding of how users visually attended and perceived model-agnostic local explanations.

 

 

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An Interactive Machine Learning System for Image Advertisements

Advertising is omnipresent in all countries around the world and has a strong influence on consumer behavior. Given that advertisements aim to be memorable, attract attention and convey the intended information in a limited space, it seems striking that previous research in economics and management has mostly neglected the content and style of actual advertisements and their evolution over time.

 

 

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The Role of Variety in Labeling Work and its Effects on Psychological and Performance Outcomes

Machine Learning (ML) delivers success across domains like autonomous driving, cancer detection, or natural language processing. However, all established methods need copious amounts of labeled training data to learn. Labeling is a costly, error-prone, and labor-intensive process generally performed manually. We need to address the human resources behind ML - the labeling workers.

 

 

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Professor

Alexander Mädche  Prof. Dr. Alexander Mädche

 

Team Lead

Dr. Mario Nadj  Dr. Mario Nadj

 

Doctoral Researchers

M.Sc. Miguel Angel Meza Martinez  Miguel Martinez

 

M.Sc. Merlin Knäble  Merlin Knäble

 

M. Sc. Sven Michalczyk  Sven Michalczyk

 

Jonas Gunklach  Jonas Gunklach

 

 

Partners

 

 

 

 

 

Publications


2021
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
The Economist Historical Advertisements - Objects Dataset.
Ammann, N.; Knaeble, M.; Nadj, M.; Maedche, A.; Kluge, S.; Gehrmann, L.; Stahl, F.
2021. doi:10.7801/386
The Economist Historical Advertisements - Faces Dataset.
Ammann, N.; Knaeble, M.; Nadj, M.; Maedche, A.; Kluge, S.; Gehrmann, L.; Stahl, F.
2021. doi:10.7801/384
The Economist Historical Advertisements - Industry Subset ’Banking’.
Kluge, S.; Gehrmann, L.; Stahl, F.; Knaeble, M.; Nadj, M.; Maedche, A.
2021. doi:10.7801/383
The Economist Historical Advertisements – Master Dataset.
Kluge, S.; Gehrmann, L.; Stahl, F.; Knaeble, M.; Nadj, M.; Maedche, A.
2021. doi:10.7801/382
An Interactive Machine Learning System for Image Advertisements.
Foerste, M.; Nadj, M.; Knaeble, M.; Maedche, A.; Gehrmann, L.; Stahl, F.
2021. Mensch und Computer 2021 (MuC ’21), Ingolstadt, 5.-8.9.2021, 574–577, Association for Computing Machinery (ACM). doi:10.1145/3473856.3474027
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)
2020
The effect of interactive analytical dashboard features on situation awareness and task performance.
Nadj, M.; Maedche, A.; Schieder, C.
2020. Decision support systems, 135, Art.Nr.: 113322. doi:10.1016/j.dss.2020.113322
Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning.
Knaeble, M.; Nadj, M.; Maedche, A.
2020. 15. Internationale Tagung Wirtschaftsinformatik (WI 2020), Potsdam, 9 - 11 März 2020, 2–16, GITO Verlag. doi:10.30844/wi_2020_a1-knaeble
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)
Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning.
Nadj, M.; Knaeble, M.; Li, M. X.; Maedche, A.
2020. Künstliche Intelligenz, 1–12. doi:10.1007/s13218-020-00634-1
2019
Towards an Integrative Theoretical Framework of Interactive Machine Learning Systems.
Meza Martínez, M. A.; Nadj, M.; Maedche, A.
2019. ECIS 2019 proceedings . 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. Research Papers, Paper: 172, AIS eLibrary (AISeL)
2018
Designing Uncertainty-Aware Dashboards for Software Development Projects.
Knaeble, M.; Nadj, M.; Maedche, A.
2018. 13th International Conference on Design Science Research in Information Systems and Technology (DESRIST), Chennai, IND, June 3-6, 2018, 1–15
2017
Towards a Taxonomy of Real-Time Business Intelligence Systems.
Nadj, M.; Schieder, C.
2017. 25th European Conference on Information Systems (ECIS 2017), Guimarães, P, June 5-10, 2017. Proceedings, Tap Portugal
2016
Process Intelligence for the Digital Age – Process Visibility Meets Process Mining.
Volmering, T.; Nadj, M.; Trump, R.; Maedche, A.
2016. Proceedings of the 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016, 1–13, Springer
A Situation Awareness Driven Design for Predictive Maintenance Systems: The Case of Oil and Gas Pipeline Operations.
Nadj, M.; Jegadeesan, H.; Maedche, A.; Hoffmann, D.; Erdmann, P.
2016. Proceedings of the 24th European Conference on Information Systems, Istanbul, Turkey, June 12-15, 2016, 1–10
Quo Vadis Real-Time Business Intelligence? A Descriptive Literature Review and Future Directions.
Nadj, M.; Schieder, C.
2016. Proceedings of the 24th European Conference on Information Systems, Istanbul, Turkey, June 12-15, 2016, 1–21
Real-Time Business Intelligence: Eine systematische Identifikation aktueller Forschungsbedarfe.
Blaser, F.; Nadj, M.; Schieder, C.
2016. Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Research-in-Progress- und Poster-Beiträge, Technische Universität Ilmenau, 09.-11. März 2016. Hrsg.: V. Nissen, 1367–1378, Universitätsverlag Ilmenau
The Smart Mobile Application Framework (SMAF) - Exploratory Evaluation in the Smart City Contex.
Nadj, M.; Haeußler, F.; Wenzel, S.; Maedche, A.
2016. Multikonferenz Wirtschaftsinformatik (MKWI) 2016, Technische Universität Ilmenau, 09.-11. März 2016, Band 3. Hrsg.: V. Nissen, 1367–1378, Universitätsverlag Ilmenau
2015
The Effect of Recommender Systems on Users’ Situation Awareness and Actions.
Kretzer, M.; Nadj, M.; Mädche, A.
2015. ICIS 2015 Proceedings : 36th International Conference on Information Systems: Exploring the Information Frontier, Fort Worth, United States, December 13-16, 2015, 1–12, Association for Information Systems (AIS)
Towards a Situation-Awareness-Driven Design of Operational Business Intelligence & Analytics Systems.
Nadj, M.; Morana, S.; Mädche, A.
2015. At the Vanguard of Design Science: First Impressions and Early Findings from Ongoing Research. 10th International Conference on Design Science Research in Information Systems and Technology (DESRIST), Dublin, Ireland, 20-22 May 2015. Ed.: B. Donnellan, 33–40, University College