| Self-service business intelligence P Alpar, M Schulz Business & Information Systems Engineering 58, 151-155, 2016 | 241 | 2016 |
| Understanding online product ratings: A customer satisfaction model TH Engler, P Winter, M Schulz Journal of Retailing and Consumer Services 27, 113-120, 2015 | 227 | 2015 |
| Influence of social software features on the reuse of Business Intelligence reports P Alpar, TH Engler, M Schulz Information Processing & Management 51 (3), 235-251, 2015 | 45 | 2015 |
| Monitoring machine learning models: a categorization of challenges and methods T Schröder, M Schulz Data Science and Management 5 (3), 105-116, 2022 | 25 | 2022 |
| Introducing DASC-PM: a data science process model M Schulz, U Neuhaus, J Kaufmann, D Badura, S Kuehnel, W Badwitz, ... | 19 | 2020 |
| DASC-PM v1.1-Ein Vorgehensmodell für Data-Science-Projekte M Schulz, U Neuhaus, J Kaufmann, S Kühnel, EM Alekozai, H Rohde, ... Universitäts-und Landesbibliothek Sachsen-Anhalt, 2022 | 17* | 2022 |
| On the relevance of reports—Integrating an automated archiving component into a business intelligence system M Schulz, P Winter, SKT Choi International Journal of Information Management 35 (6), 662-671, 2015 | 16 | 2015 |
| Is there still a need for multidimensional data models? T Hänel, M Schulz | 12 | 2014 |
| Self-service business intelligence and analytics application scenarios: A taxonomy for differentiation J Passlick, L Grützner, M Schulz, MH Breitner Information Systems and e-Business Management 21 (1), 159-191, 2023 | 8 | 2023 |
| Data-Science-Projekte und ihre Besonderheiten M Schulz Wirtschaftsinformatik & Management 12 (5), 376-381, 2020 | 4 | 2020 |
| Die Mitarbeiter von Morgen: Ergebnisse eines Workshops zu den Kompetenzen künftiger Mitarbeiter im Bereich Business Analytics J Bär, D Badura, A Bockshecker, L Hauer, M Karalash, S Nehls, ... Nordblick Hochschule Der Wirtschaft 8, 34-49, 2019 | 4 | 2019 |
| Self-service business intelligence (SSBI): Categorizing into dimensions of interest in scholarly literature Y Ogushi, M Schulz 新潟大学経済論集 100, 97-115, 2016 | 4 | 2016 |
| Don’t Be Afraid of Failure—Insights from a Survey on the Failure of Data Science Projects J Aßmann, J Sauer, M Schulz Apply Data Science: Introduction, Applications and Projects, 65-76, 2023 | 2 | 2023 |
| Should data structures look flat for end users? M Schulz, P Alpar, P Winter Information Systems Management 37 (2), 150-169, 2020 | 2 | 2020 |
| Towards a social data enriched search algorithm for business intelligence portals TH Engler, M Schulz, P Winter ECSM 2014 University of Brighton Brighton, UK 10-11 July 2014, 740, 2014 | 2 | 2014 |
| More Data Analysis with Citizen Data Scientists? P Alpar, M Schulz World Conference on Information Systems and Technologies, 122-130, 2022 | 1 | 2022 |
| Der Artificial Intelligence Act–eine Praxisanalyse am Beispiel von Gesichtserkennungssoftware A Wudel, M Schulz HMD Praxis der Wirtschaftsinformatik 59 (2), 588-604, 2022 | 1 | 2022 |
| Where is the science in data science projects? J Kaufmann, S Kühnel, R Theuerkauf, EM Alekosai, S Hoseini, ... Gesellschaft für Informatik, Bonn, 2021 | 1 | 2021 |
| Keine Angst vor Fehlschlägen–Erkenntnisse aus einer Umfrage zum Scheitern von Data-Science-Projekten J Aßmann, J Sauer, M Schulz Data Science anwenden: Einführung, Anwendungen und Projekte, 69-81, 2021 | 1 | 2021 |
| Die Mitarbeiter von morgen-Kompetenzen künftiger Mitarbeiter im Bereich Business Analytics U Neuhaus, H Schröder, M Schulz | 1 | 2019 |
