Accelerating Data-Driven Transformation at BBVA
Name
2018_0701_DataDrivenBBVA_WixomSomeh.pdf
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457.9 KB
Format
Adobe PDF
Checksum (MD5)
252ac068205f883d1b9c1258658e0176
Author(s)
Wixom, Barbara H.
Someh, Ida A.
Date Issued
July 19, 2018
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Wixom, Barbara H. and Ida A. Someh. “Accelerating Data-Driven Transformation at BBVA.” MIT CISR Research Briefing Volume XVIII, no. 7 (July 2018). https://dspace.mit.edu/handle/1721.1/174808.
Series/Report no.
MIT CISR Research Briefing, Vol. XVIII, No. 7
Abstract
This briefing describes four key activities that help companies become data-driven: (1) cultivating a community of contemporary data science talent; (2) communicating data s value proposition enterprise-wide; (3) co-creating new data-driven work practices; and (4) scaling data-driven best practices. These activities are illustrated using the case of BBVA, a global financial group that established a data science center of excellence (CoE) in 2014 as a wholly owned subsidiary called BBVA Data & Analytics. By 2017, the CoE had helped BBVA build an enterprise capability that regularly generates innovative, new analytics-based work practices and that scales best practices across the company.
Subjects
Business Models
Information Businesses
Data monetization
Information Technologies
Data, AI, and Analytics
Assessing and Communicating IT Value
Data Management, Analytics, and Use
Design/Management of the IT Unit
Digital Innovation
Terms of Use
CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)
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