Skip to main content
SpringerLink
Log in

Data Management Strategy Assessment for Leveraging the Digital Transformation

A Comparison Between Two Models: DX-CMM and Camelot DMM

  • Conference paper
  • First Online:
Systems, Software and Services Process Improvement (EuroSPI 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1646))

Included in the following conference series:

Abstract

In addition to the trend of Digitalization, the path to Digital Transformation in organizations is playing an increasing role today. Digital Transformation of companies requires a structured way and cannot be realized within one step. For this purpose, maturity models should reflect an initial status of companies and show a way for improvement. An already developed, holistic maturity model called Digital Transformation Capability Maturity Model (DX-CMM) tries to fully meet criteria of suitability, completeness, clarity, and objectivity. This theoretically grounded development approach for application in the field of Digital Transformation is contrasted in this paper with a more data-related capability approach related to the dimensions processes and capability. Master data have an enormous impact on organizational processes and can be seen as the key to Digital Transformation. Therefore, the paper provides a specific capability map aimed at data management with focus on master data. This approach is already being used in various industrial sectors. First evaluations from application in practice as well as benchmarking approaches are derived.

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

Access this chapter

Log in via an institution
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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Walters, E. (ed.): Data-Driven Law: Data Analytics and the New Legal Services. Auerbach Publications, New York (2018)

    Google Scholar 

  2. Echte digitale Transformation startet mit Data Governance. ComputerWeekly.de. https://www.computerweekly.com/de/meinung/Echte-digitale-Transformation-startet-mit-Data-Governance

  3. Definition of Digital Transformation - Gartner Information Technology Glossary. Gartner. https://www.gartner.com/en/information-technology/glossary/digital-transformation

  4. Lichtenthaler, U.: Profiting from digital transformation?: combining data management and artificial intelligence. Int. J. Serv. Sci. Manag. Eng. Technol. (IJSSMET) 12(5), 68–79 (2021)

    Google Scholar 

  5. Schmiech, C.: Der Weg zur Industrie 4.0 für den Mittelstand: Ausgewählte Potenziale und Herausforderungen. In: Wolff, D., Göbel, R. (eds.) Digitalisierung: Segen oder Fluch, pp. 1–28. Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-662-54841-7

    Chapter  Google Scholar 

  6. Hess, T.: Digitale Transformation strategisch steuern: Vom Zufallstreffer zum systematischen Vorgehen. Springer Fachmedien Wiesbaden, Wiesbaden (2019). https://doi.org/10.1007/978-3-658-24475-0

    Book  Google Scholar 

  7. Definition of Digitalization - Gartner Information Technology Glossary. Gartner. https://www.gartner.com/en/information-technology/glossary/digitalization

  8. Barton, T., Müller, C., Seel, C. (eds.): Digitalisierung in Unternehmen: Von den theoretischen Ansätzen zur praktischen Umsetzung. Springer Fachmedien Wiesbaden, Wiesbaden (2018). https://doi.org/10.1007/978-3-658-22773-9

    Book  Google Scholar 

  9. Kugler, S., Anrich, F.: Digitale Transformation im Mittelstand mit System: Wie KMU durch eine innovative Kultur den digitalen Wandel schaffen. Springer Fachmedien Wiesbaden, Wiesbaden (2018). https://doi.org/10.1007/978-3-658-22914-6

    Book  Google Scholar 

  10. Bauernhansl, T., ten Hompel, M., Vogel-Heuser, B. (eds.): Industrie 4.0 in Produktion, Automatisierung und Logistik. Springer Fachmedien Wiesbaden, Wiesbaden (2014). https://doi.org/10.1007/978-3-658-04682-8

    Book  Google Scholar 

  11. Sarshar, M., Finnemore, M., Haigh, R., Goulding, J.: SPICE: Is the capability maturity model applicable in the construction industry, January 1999

    Google Scholar 

  12. Baolong, Y., Hong, W., Haodong, Z.: Research and application of data management based on Data Management Maturity Model (DMM). In: Proceedings of the 2018 10th International Conference on Machine Learning and Computing, pp. 157–160. ACM (2018)

    Google Scholar 

  13. ISO: ISO/IEC 15504-5:2012. ISO. https://www.iso.org/cms/render/live/en/sites/isoorg/contents/data/standard/06/05/60555.html

  14. Tarhan, A., Turetken, O., Reijers, H.A.: Business process maturity models: a systematic literature review. Inf. Softw. Technol. 75, 122–134 (2016)

    Article  Google Scholar 

  15. Otto, B., Hüner, K.M., Österle, D.H.: Funktionsarchitektur für unternehmensweites Stammdatenmanagement, 1 May 2009

    Google Scholar 

  16. Scheuch, R., Gansor, T., Ziller, C.: Master Data Management: Strategie, Organisation, Architektur. Dpunkt.verlag, Verlag (2012)

    Google Scholar 

  17. Gökalp, E., Martinez, V.: Digital transformation maturity assessment: development of the digital transformation capability maturity model. Int. J. Prod. Res., 1–21 (2021)

    Google Scholar 

  18. Packowski, J. (ed.): Strategic Master Data Management: Prerequisite for Agile and Efficient Business Processes; Study Findings. Camelot Management Consultants AG, Mannheim (2012)

    Google Scholar 

  19. de Calavon, A.A.: How To Drive Digital Transformation With Master Data Management. https://www.to-increase.com/business-integration/blog/digital-transformation-master-data-management

  20. Riel, A., Messnarz, R., Woeran, B.: Democratizing innovation in the digital era: empowering innovation agents for driving the change. In: Yilmaz, M., Niemann, J., Clarke, P., Messnarz, R. (eds.) EuroSPI 2020. CCIS, vol. 1251, pp. 757–771. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-56441-4_57

    Chapter  Google Scholar 

  21. ISO: ISO 56000:2020. ISO. https://www.iso.org/cms/render/live/en/sites/isoorg/contents/data/standard/06/93/69315.html

  22. Biro, M., Messnarz, R.: EuroSPI 1999 (1999). https://conference.eurospi.net/images/proceedings/EuroSPI1999-ISBN-952-9607-29-2.pdf

  23. Korsaa, M., Biro, M., Messnarz, R., et al.: The SPI manifesto and the ECQA SPI manager certification scheme. J. Softw. Evol. Process 24(5), 525–540 (2012)

    Article  Google Scholar 

  24. Pries-Heje, J., Johansen, J., Messnarz, R.: SPI Manifesto (2010). https://conference.eurospi.net/images/eurospi/spi_manifesto.pdf

Download references

Author information

Authors and Affiliations

  1. Univ. Grenoble Alpes, CNRS, Grenoble INP, G-SCOP, 38000, Grenoble, France

    Lara Pörtner & Andreas Riel

  2. CAMELOT Management Consultants AG, Gabrielenstraße 9, 80636, Munich, Germany

    Lara Pörtner & Robert Möske

Authors
  1. Lara Pörtner
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Robert Möske
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Andreas Riel
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Andreas Riel .

Editor information

Editors and Affiliations

  1. Gazi University, Ankara, Turkey

    Murat Yilmaz

  2. Dublin City University, Dublin, Ireland

    Paul Clarke

  3. I.S.C.N. GesmbH, Graz, Austria

    Richard Messnarz

  4. Paracelsus Medical University, Salzburg, Austria

    Bruno Wöran

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pörtner, L., Möske, R., Riel, A. (2022). Data Management Strategy Assessment for Leveraging the Digital Transformation. In: Yilmaz, M., Clarke, P., Messnarz, R., Wöran, B. (eds) Systems, Software and Services Process Improvement. EuroSPI 2022. Communications in Computer and Information Science, vol 1646. Springer, Cham. https://doi.org/10.1007/978-3-031-15559-8_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-15559-8_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15558-1

  • Online ISBN: 978-3-031-15559-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation