Skip to main content

Measuring the Success of Data Governance

  • Chapter
  • First Online:
Data Governance for Managers

Part of the book series: Management for Professionals ((MANAGPROF))

  • 510 Accesses

Abstract

Professionally managed data is the basis for goal-oriented corporate development in the context of digital transformation and thus also the basis for data-driven process optimization and the resulting competitive advantages. This is why it is so important for companies to address the professional management of data in an ever-changing and increasingly complex digital world and to recognize the value of Data Governance for the organization.

A final building block for the development of successful Data Governance is an accompanying measurement of success. In this chapter, we will discuss how the capabilities, services, and maturity levels of a company’s own Data Management can be measured, evaluated, and compared with set development goals. To do so, the use of a capability maturity model (CMM), which measures the ranks of Data Management services along the company’s processes (e.g., on a five-level maturity scale from “Aware” to “Optimizing”), is an established method.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 84.99
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

Bibliography

  • De Haes S (2016) Enterprise governance of information technology: achieving alignment and value, featuring COBIT 5. Springer, Berlin

    Google Scholar 

  • Ladley J (2012) Data governance: how to design, deploy and sustain an effective data governance program. Academic Press, Cambridge

    Google Scholar 

  • Seiner R (2014) Non-invasive data governance: the path of least resistance and greatest success. Technics Publications, New Jersey

    Google Scholar 

  • Templar M (2017) Get governed: building world class data governance programs. Ivory Lady Publishing, Wexford

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer-Verlag GmbH Germany, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bollweg, L.M. (2022). Measuring the Success of Data Governance. In: Data Governance for Managers . Management for Professionals. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-65171-1_7

Download citation

Publish with us

Policies and ethics