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  5. Data Monetization: Generating Financial Returns from Data and Analytics—Summary of Survey Findings

Data Monetization: Generating Financial Returns from Data and Analytics—Summary of Survey Findings

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Author(s)
Wixom, Barbara H.
Date Issued
April 18, 2019
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Wixom, Barbara H. “Data Monetization: Generating Financial Returns from Data and Analytics—Summary of Survey Findings.” Working paper 437, Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 2019. https://dspace.mit.edu/handle/1721.1/175331.
Series/Report no.
MIT Sloan School of Management Working Paper 6766-19
CISR Working Paper 437
Abstract
In 2018, MIT CISR collected information from 315 executives to learn how companies are generating economic returns from data monetization activities. This report provides detailed survey results, and can be used by organizations to benchmark data monetization strategies, practices, and outcomes against those reported by the sample. Key findings from the research included five enterprise-level monetization capabilities data asset curation, data factory platform, data science techniques and talent, customer understanding, and acceptable data use that produce optimized data monetization portfolios. The research also identified characteristics that distinguish top-performing companies engaged in the three data monetization approaches: improving processes with data, wrapping products with analytics features and experiences, and selling information solutions.
Subjects
Data monetization
Enterprise Architecture
Business Models
IT investment and portfolio management
Assessing and Communicating IT Value
Business Agility
Data Management, Analytics, and Use
Digital Innovation
Digitizing Business Processes
IT-based Business Transformation
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© Authors. All Rights Reserved. No additional permission needed for educational uses.
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https://dspace.mit.edu/handle/1721.1/175331
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