Data Value Assessment: Recognizing Data as an Enterprise Asset
Name
2015_0301_DataAsset_WixomMarkus.pdf
Size
1.93 MB
Format
Adobe PDF
Checksum (MD5)
1d4ce7fcd1e744c1d8dfc824c0a81319
Author(s)
Wixom, Barbara H.
Markus, M. Lynne
Date Issued
March 19, 2015
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Wixom, Barbara H. and M. Lynne Markus. “Data Value Assessment: Recognizing Data as an Enterprise Asset.” MIT CISR Research Briefing Volume XV, no. 3 (March 2015). https://dspace.mit.edu/handle/1721.1/174837.
Series/Report no.
MIT CISR Research Briefing, Vol. XV, No. 3
Abstract
In order to maximize the value from data, companies must develop approaches to generate value amidst fear and concern related to security breaches, privacy violations, mounting costs, and regulatory constraints. We believe that companies can kick-start or further develop such approaches by conducting a Data Value Assessment (DVA), which we define as a holistic, enterprise-level analysis of data s costs, benefits, and risks. This briefing describes an approach to DVA at a data asset company from our research, and identifies lessons that other organizations seeking to treat data as an enterprise asset can draw upon.
Subjects
Data monetization
IT investment and portfolio management
IT-Related Business Risk
Assessing and Communicating IT Value
Data Management, Analytics, and Use
IT Governance
Terms of Use
CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)
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