Abstract
A large number of manufacturing companies have been optimizing their internal value creation processes for years by using data. However, there are only a few examples of data monetization in production technology today. This article begins by explaining the most important data and monetization-specific difficulties that prevent implementation. The main focus of this article are six data monetization strategies, which differ in terms of of customization and data density. The detailed explanations of the individual strategy types as well as a real-world example provide orientation for the (possible) implementation of data monetization with a real impact in one’s own company.
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References
acatech Deutsche Akademie der Technikwissenschaften (2013) Umsetzungsempfehlung für das Zukunftsprojekt Industrie 4.0. Abschluss des Arbeitskreises Industrie 4.0. Büro der Forschungsunion/Geschäftsstelle der Plattform Industrie 4.0, Berlin
Business Application Research Center (2019) Data Monetization. Use Cases, Umsetzung, Mehrwerte. Online-Studie
FIR der RWTH Aachen (2015) Konsortial-benchmarking “service innovation”. Aachen
Short JE, Todd S (2017) What’s your data worth? MIT Sloan Manag Rev 58(3):17–19
Krotova A, Rusche C, Spiekermann M (2019) Die ökonomische Bewertung von Daten. Verfahren, Beispiele und Anwendungen. IW-Analysen, Vol 129. Institut der Deutschen Wirtschaft Köln Medien GmbH, Köln
Laney DB (2018) Infonomics. How to monetize, manage, and measure information as an asset for competitive advantage. Routledge, New York
Gemeinsame Datenbank des Werkzeugmaschinenlabors WZL der RWTH Aachen und des Fraunhofer-Institut für Produktionstechnologie IPT, Stand 2020
Kleinaltenkamp M, Plinke W (2002) Strategisches business-to-business-marketing. Springer, Heidelberg
Strongin S, Hindlian A, Lawson S, Banerjee S (2019) A Survivor’s Guide to Disruption. Whitepaper des Global Markets Institute. The Goldman Sachs Group, Inc. https://www.goldmansachs.com/insights/pages/gs-research/survivors-guide-to-disruption/report.pdf. Accessed 21 June 2021
Bauernhansl T, Krüger J, Reinhart G, Schuh G (2016) WGP-Standpunkt Industrie 4.0. Wissenschaftliche Gesellschaft für Produktionstechnik WGP, Stuttgart
Bruhn M, Hadwich K (2017) Dienstleistungen 4.0 – Erscheinungsformen, Transformationsprozesse und Managementimplikationen. In: Bruhn M, Hadwich K (eds) Dienstleistungen 4.0. Springer Gabler, Wiesbaden, pp 1–39
Belz C, Schuh G, Groos SA, Reinecke S (eds) (1997) Industrie als Dienstleister. Thexis, St. Gallen
Hein A, Böhm M, Krcmar H (2019) Digitale Plattformen. In: Dahm MH, Thode S (eds) Strategie und Transformation im digitalen Zeitalter. Springer Gabler, Wiesbaden, pp 181–199
Koenen T, Heckler S (2020) Deutsche digitale B2B-Plattformen. Bundesverband der Deutschen Industrie e. V., Berlin
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Schuh, G., Kelzenberg, C., Boshof, J., Graberg, T., Ochel, T. (2023). Data Monetization Strategies for Manufacturing Companies . In: Trauth, D., Bergs, T., Prinz, W. (eds) The Monetization of Technical Data. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-66509-1_9
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DOI: https://doi.org/10.1007/978-3-662-66509-1_9
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