Business & Strategy · beginner · concept 300 of 311 · Updated Nov 4, 2026
Data Strategy for AI
A data strategy for AI is the plan for which data an organization needs and how it is collected, governed, stored and made usable by models. Output quality is capped by data quality, access and rights. IBM defines it as a plan for using data to improve decisions, built from objectives, a roadmap, controls and scaling. MIT CISR's 2024 survey found top performers attributed 11 percent of revenue to data monetization, five times the bottom group.
Key terms
Learn these first
Where you meet it in the real world
Cleaning product catalogs for retrieval, consolidating customer records before building agents, data access policies for copilots, data contracts between teams, consent and rights checks on training data
Videos
IBM Technology · YouTube
IBM · YouTube
Guides and articles
IBM Think
Wikipedia
Courses, papers, and more