Link: https://cisr.mit.edu/publication/2025_1101_DataLiquidityLevers_WixomRodriguezPiccoliBeath_Audio
From MIT CISR
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.
Publication date:
Publication type: Audio
Publication authors:
Barbara H. Wixom
,
Joaquin Rodriguez
,
Gabriele Piccoli
,
Cynthia M. Beath
