Data Liquidity Levers at Caterpillar
Name
2025_1101_DataLiquidityLevers_WixomRodriguezPiccoliBeath.pdf
Size
356.08 KB
Format
Adobe PDF
Checksum (MD5)
75aefcadf6183171311b97200454c024
Author(s)
Wixom, Barbara H.
Rodriguez, Joaquin
Piccoli, Gabriele
Beath, Cynthia M.
Date Issued
November 20, 2025
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Wixom, Barbara H., Joaquin Rodriguez, Gabriele Piccoli, and Cynthia M. Beath. “Data Liquidity Levers at Caterpillar.” MIT CISR Research Briefing Volume XXV, no. 11 (November 2025). https://dspace.mit.edu/handle/1721.1/174890.
Series/Report no.
MIT CISR Research Briefing, Vol. XXV, No. 11
Abstract
Organizations with big aspirations for leveraging AI technology increasingly need data assets with high data liquidity (i.e., ease of data asset reuse and recombination) to achieve their aims. This briefing draws on the multiyear journey of global heavy equipment manufacturer Caterpillar to illustrate how companies can successfully execute foundational data liquidity tactics by managing three data domain practice areas we call data liquidity levers. These areas data architecture, data preparation, and data permissioning function as levers to increase or limit data liquidity.
Subjects
Data monetization
Decision rights/governance
Data, AI, and Analytics
Platforms
Terms of Use
CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)
Persistent DSpace Link
