Abstract
Over the past decades, information technology management has evolved to a realization that data, not just systems and software applications, must be managed. This evolution began with the desire to automate manual tasks. It progressed to integrating independently automated tasks, advanced to large-scale centralized data management applications, and finally evolved into several closely related data management domains, including data quality, data governance, data architecture, master data management, analytics, and others that can be managed in alignment with business goals.
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 set of data management areas, see The Data Management Body of Knowledge (DMBOK) Guide, Data Management International (DAMA), Technics Publications, Inc., 2009.
- 2.
From Methany, M. Federal Cloud Computing: The Definitive Guide for Cloud Service Providers. Syngress Publishing, 2012. See “A Historical View of Federal IT.”
- 3.
U.S. Congress, Office of Technology Assessment, Federal Government Information Technology: Management, Security, and Congressional Oversight, OTA-CIT-297 (Washington, D.C.: U.S. Government Printing Office, February 1986).
- 4.
Wikipedia defines system integration as “linking together different computing systems and software applications physically or functionally, to act as a coordinated whole”. https://en.wikipedia.org/wiki/System_integration. This differs from data integration, in which the focus is on ensuring data is used consistently across the enterprise.
- 5.
Davenport, T., & Patil, D. J., “Data scientist: The sexiest job of the 21st century,” Harvard Business Review, October 2012. https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century/.
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). Evolution to Modern Data Management. In: Modern Data Strategy. Springer, Cham. https://doi.org/10.1007/978-3-319-68993-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-68993-7_1
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)