Explore our four primary criteria for evaluating conversational BI products.
Published at:
https://www.eckerson.com/articles/genai-driven-analytics-product-evaluation-criteria-for-conversational-bi

GenAI-Driven Analytics: Product Evaluation Criteria for Conversational BI - Audio Blog

Barb Wixom reads MIT CISR's November 2025 research briefing, which she co-authored with Joaquin Rodriguez, Gabriele Piccoli, and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2025_1101_DataLiquidityLevers_WixomRodriguezPiccoliBeath.

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 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.

Data Liquidity Levers at Caterpillar

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

A research center at the MIT Sloan School of Management, MIT CISR helps executives meet the challenge of leading dynamic, global, and information-intensive organizations.

New tracks tagged #DataPreparation