Refine
Year of publication
- 2023 (24) (remove)
Document Type
- Article (1)
- Part of a Book (4)
- Conference Proceeding (18)
- Internet Paper (1)
Is part of the Bibliography
- no (24)
Keywords
- 02 (15)
- 03 (8)
- 04 (1)
- 5G (2)
- Adaptability (1)
- Administration (1)
- Anomaly detection (1)
- Artificial intelligence (1)
- Automatisierung (1)
- Business analytics (1)
Institute
The successful use of Business Analytics is increasingly becoming a differentiating competitive factor. The ability to extract data-driven insights and integrate them into decision-making is becoming growingly important. The underlying technologies are evolving exponentially, the value proposition differs from simple descriptive applications to automated decision-making. Existing approaches found in literature and practice to classify those levels only insufficiently mark down the boundaries between the different technology levels. As a consequence, it is often unclear which characteristics of the technology interact with the working environment, which can be described as a socio-technical system. Using a systematic literature review, this paper identifies the characteristics of Business Analytics and delineates three types of Business Analytics based on case studies. Thus, a starting point for the socio-technical system design and optimization for the use of Business Analytics is created.