Skip to main content

Data Monetization Strategies for Manufacturing Companies

Six Ways to Make Cash Effective Use of Data

  • Chapter
  • First Online:
The Monetization of Technical Data

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. 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

    Google Scholar 

  2. Business Application Research Center (2019) Data Monetization. Use Cases, Umsetzung, Mehrwerte. Online-Studie

    Google Scholar 

  3. FIR der RWTH Aachen (2015) Konsortial-benchmarking “service innovation”. Aachen

    Google Scholar 

  4. Short JE, Todd S (2017) What’s your data worth? MIT Sloan Manag Rev 58(3):17–19

    Google Scholar 

  5. 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

    Google Scholar 

  6. Laney DB (2018) Infonomics. How to monetize, manage, and measure information as an asset for competitive advantage. Routledge, New York

    Google Scholar 

  7. Gemeinsame Datenbank des Werkzeugmaschinenlabors WZL der RWTH Aachen und des Fraunhofer-Institut für Produktionstechnologie IPT, Stand 2020

    Google Scholar 

  8. Kleinaltenkamp M, Plinke W (2002) Strategisches business-to-business-marketing. Springer, Heidelberg

    Google Scholar 

  9. 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

  10. Bauernhansl T, Krüger J, Reinhart G, Schuh G (2016) WGP-Standpunkt Industrie 4.0. Wissenschaftliche Gesellschaft für Produktionstechnik WGP, Stuttgart

    Google Scholar 

  11. 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

    Google Scholar 

  12. Belz C, Schuh G, Groos SA, Reinecke S (eds) (1997) Industrie als Dienstleister. Thexis, St. Gallen

    Google Scholar 

  13. 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

    Google Scholar 

  14. Koenen T, Heckler S (2020) Deutsche digitale B2B-Plattformen. Bundesverband der Deutschen Industrie e. V., Berlin

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Günther Schuh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

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

Download citation

Publish with us

Policies and ethics