TY  - CONF
A1  - Müller, Jonas
A1  - Schuh, Günther
A1  - Nahr, Brian
A1  - Hoeborn, Gerrit
A1  - Stich, Volker
T1  - Understanding Business Analytics
T2  - 2022 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)
N2  - 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.
KW  - rev
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/2392
UR  - https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10041874
SN  - 978-1-6654-7027-8
SN  - 978-1-6654-7028-5
SN  - 2159-5119
SN  - 2372-7268
PB  - IEEE
ER  -