To advance data‑driven transformation, enterprises need structured approaches that clearly link analytics initiatives to business outcomes and communicate impact consistently. Yet most enterprises still lack mature, repeatable practices for measuring and communicating the value of enterprise investments in data and analytics. That leaves the business impact of these investments unclear. And because direct causation is rarely provable, organizations must rely on correlational evidence and business‑aligned measurement frameworks to demonstrate value.

Forrester data shows that firms with positive revenue growth are more likely to quantitatively measure ROI from data and analytics investments. Firms that do this well show stronger growth, higher stakeholder confidence, and better long‑term returns. While causation is difficult to prove, strong correlational evidence demonstrates that mature programs deliver 2–5x ROI across revenue growth, cost efficiency, and risk reduction. Without repeatable measurement and communication, organizations struggle to justify investment or demonstrate meaningful business impact.

Read The Report

I invite you to read Measure The Business Value Of Data And Analytics Investments, where Forrester suggests a structured step-by-step approach to link all data and analytics initiatives to strategic OKRs/KPIs, measure and observe correlations between usage of data and analytics applications and their impact on tangible business benefits, communicate the results, and take appropriate actions.

If you have questions, please set up a call with me or my colleagues on the Forrester data, analytics, and AI research team.