Abstract
It is very important to understand an organization’s current data governance maturity when planning to implement formal data governance. This chapter discusses the concept of data governance maturity and data governance maturity model. Several data governance maturity models have been proposed by different industry practitioners, which can be used as a guiding framework to baseline an organization’s data governance maturity, and set goals to move up the data governance maturity curve. In this chapter, the data governance models developed by Kalido, DataFlux, Informatica, Oracle, Microsoft, and IBM are discussed and compared. In addition, a new data governance maturity model consisting of ten dimensions is discussed in this chapter.
We mature with the damage, not with the years—Mateus William
Maturity is a high price to pay for growing up—Tom Stoppard
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alder SB (2006) The six questions every organization should ask about data governance, IBM Corporation. http://globalforum.items-int.com/gf/gf-content/uploads/2014/04/GF_2007_Steven_Adler.pdf. Accessed 10 Apr 2018
Becker J, Knackstedt R, Poppelbu¨ss J (2010) Developing maturity models for IT management? A procedure model and its application. Bus Inform Syst Eng 1(3):213–222
Chen W (2010) Kalido data governance maturity model, Kalido white paper
Crosby, PB (1979) Quality is free: the art of making quality certain. McGraw-Hill, New York
DataFlux Corporation, The data governance maturity model establishing the people, policies and technology that manage enterprise data. A dataflux white paper
Gibson CF, Nolan RL (1974) Managing the four stages of EDP growth. Harv Bus Rev 52(1):76–88
IBM Corporation (2007) The IBM data governance council maturity model: building a roadmap for effective data governance. https://www-935.ibm.com/services/uk/cio/pdf/leverage_wp_data_gov_council_maturity_model.pdf. Accessed 31 July 2018
Informatica Professional Services (2015) Data governance assessment discover the business value behind data governance, service offering. https://www.informatica.com/content/dam/informatica-com/global/amer/us/collateral/service-offering/en_data-governance-assement_service-offering_2804.pdf. Accessed on 31 July 2018
Mahanti R (2021) Data governance and compliance, Springer Books, Springer, number 978-981-33-6877-4
Mettler T (2010) Maturity assessment models: a design science research approach. Int J Soc Syst Sci 3(1):81–98
Nolan RL (1973) Managing the computer resource: a stage hypothesis. Commun ACM 16(7):399–405
Salido J, Patrick V (2010) A guide to data governance for privacy, confidentiality, and compliance part 4: a capability maturity model, Microsoft white paper
Sun H (2011) Enterprise information management: best practices in data governance. Oracle Corporation, An Oracle white paper on enterprise architecture
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Mahanti, R. (2021). Data Governance Maturity Models. In: Data Governance Success. Springer, Singapore. https://doi.org/10.1007/978-981-16-5086-4_4
Download citation
DOI: https://doi.org/10.1007/978-981-16-5086-4_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-5085-7
Online ISBN: 978-981-16-5086-4
eBook Packages: Business and ManagementBusiness and Management (R0)