Classification of Business Analytics Methods based on the Industrie 4.0 maturity level
- The almost boundless possibilities of realizing saving potentials and innovations drive manufacturing companies to implement Business Analytics as part of the digitalization roadmap. The increasing research within the field of algorithm design and the wide range of user-friendly tools simplify generating first insights from data also for non-professionals. However, small and medium sized companies struggle implementing Business Analytics company-wide due to the lack of competencies. Especially the customization of a multitude of analytic methods in order to match a superordinate, business-relevant question is not done easily. This paper enables researchers as well as practitioners to close the gap between business relevant questions and algorithms. From a practical point of view, this paper helps shortening the search time for a suitable algorithm. Out of a research perspective, it aims to help positioning new algorithms within a structured framework in order to enhance the communication of algorithms’ capabilities.
Verfasserangaben: | Denis KrechtingGND, Günther SchuhORCiDGND, Gerhard GuderganGND |
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Titel des übergeordneten Werkes (Englisch): | R&D Management Conference 2018 “R&Designing Innovation: Transformational Challenges for Organizations and Society” |
Verlag: | Wiley |
Ort: | Mailand |
Herausgeber*in: | RADMA (Research And Development Management) |
Dokumentart: | Konferenzveröffentlichung |
Sprache: | Englisch |
Datum der Veröffentlichung (online): | 30.03.2023 |
Datum der Erstveröffentlichung: | 30.06.2018 |
Datum der Freischaltung: | 20.04.2023 |
Freies Schlagwort / Tag: | Business-Analytics-Methoden; Industrie 4.0; Reifegrad Business Analytics Methods; Maturity Index |
Umfang: | 14 S. |
FIR-Nummer: | SV6997 |
Konferenzname: | R&D Management Conference 2018 “R&Designing Innovation: Transformational Challenges for Organizations and Society” |
Konferenzort: | Mailand |
Konferenzzeitraum: | 30.06.2018 |
Institut / Bereiche des FIR: | FIR e. V. an der RWTH Aachen |
Business Transformation | |
DDC-Klassifikation: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |