IDEAS home Printed from https://ideas.repec.org/h/spr/mgmchp/978-3-662-65171-1_7.html
   My bibliography  Save this book chapter

Measuring the Success of Data Governance

In: Data Governance for Managers

Author

Listed:
  • Lars Michael Bollweg

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.

Suggested Citation

  • Lars Michael Bollweg, 2022. "Measuring the Success of Data Governance," Management for Professionals, in: Data Governance for Managers, chapter 7, pages 145-150, Springer.
    • Handle: RePEc:spr:mgmchp:978-3-662-65171-1_7
    DOI: 10.1007/978-3-662-65171-1_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:mgmchp:978-3-662-65171-1_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.