Abstract
As we have seen, a data strategy is the coordinated approach of executing multiple data management domains to help manage revenue, cost, compliance, and risk. This chapter presents an overview of two data management frameworks that embody these domains. These frameworks describe the various domains and their relationships, and they serve as valuable resources for comprehending their components. They are useful additional references for understanding individual data management domains and, in the case of the CMMI DMM model, assessing the organization’s maturity in a given area.
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
Notes
- 1.
For a more complete list of data management frameworks, as well as additional framework details, see Data Management Frameworks in Appendix A.
- 2.
DAMA International, “The DAMA Guide to the Data Management Body of Knowledge,” Technics Publications, 2009. The framework for ver. 2 was published in March 2014 and is available at https://www.dama.org/sites/default/files/download/DAMA-DMBOK2-Framework-V2-20140317-FINAL.pdf; as of this writing a draft for the full publication of version 2 is available for public comment.
- 3.
- 4.
Licensed copies of the CMMI DMM model and its details are available at https://dmm-model-individual.dpdcart.com/. An unlicensed overview of categories and process areas is publicly available in the Building Enterprise Data Management Elearning Course Companion Guide, at http://cmmiinstitute.com/sites/default/files/resource_asset/DMM%20Elearning%20Course%20Companion%20Guide.pdf.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Fleckenstein, M., Fellows, L. (2018). Overview of Data Management Frameworks. In: Modern Data Strategy. Springer, Cham. https://doi.org/10.1007/978-3-319-68993-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-68993-7_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-68992-0
Online ISBN: 978-3-319-68993-7
eBook Packages: Computer ScienceComputer Science (R0)