Understanding Business Analytics: Characteristics and Archetypes

IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), pp. 1–7

Abstract

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.

Authors 4

1. Günther Schuh Aachen Institute for Industrial Management

   FIR e. V. an der RWTH Aachen · RWTH Aachen University

   Affiliation as printed

   Institute for Industrial Management (FIR) at RWTH Aachen University,Aachen,Germany

   Institute for Industrial Management (FIR) at RWTH Aachen University, Aachen, Germany

2. Brian Nahr Aachen Institute for Industrial Management

   FIR e. V. an der RWTH Aachen · RWTH Aachen University

   Affiliation as printed

   Institute for Industrial Management (FIR) at RWTH Aachen University,Aachen,Germany

   Institute for Industrial Management (FIR) at RWTH Aachen University, Aachen, Germany

3. Gerrit Hoeborn Aachen Institute for Industrial Management

   FIR e. V. an der RWTH Aachen · RWTH Aachen University

   Affiliation as printed

   Institute for Industrial Management (FIR) at RWTH Aachen University,Aachen,Germany

   Institute for Industrial Management (FIR) at RWTH Aachen University, Aachen, Germany

4. Volker (Prof. Dr.-Ing.) Stich Aachen Institute for Industrial Management

   FIR e. V. an der RWTH Aachen · RWTH Aachen University

   Affiliation as printed

   Institute for Industrial Management (FIR) at RWTH Aachen University,Aachen,Germany

   Institute for Industrial Management (FIR) at RWTH Aachen University, Aachen, Germany