How to Show Business Value From Data and AI
InformationWeek, Monday, October 19th, 2026
Gartner advises data and analytics leaders to tie their work to business value metrics instead of reporting technical metrics in isolation.
Data and analytics (D&A) leaders say communicating business value is one of the top three barriers to their teams' success.
This Gartner-authored piece recommends defining business value metrics that link D&A and AI investments to measurable outcomes, tying data quality or model accuracy to strategic goals such as reducing customer churn rather than reporting them on their own.
The first step is understanding stakeholder priorities from strategic plans, annual reports and business conversations, and then ranking initiatives by expected impact.
This approach helps D&A teams get prioritized and secure funding.