1. What “Value Gaps” Is (Definition)

Value Gaps represent the systemic disconnects that prevent organisations from converting data and AI into measurable economic outcomes.

It reframes the problem from “we need better data” to
“we are losing value at specific points in our system.”

This shift is critical:

  • From capability → to outcome
  • From technology → to economics
  • From implementation → to performance

2. As a Diagnostic Lens

Purpose

To identify where and why value is lost across the data-to-decision lifecycle.


Core Model

At its simplest:

DATA → INSIGHT → DECISION → ACTION → FINANCIAL IMPACT

Value gaps occur when one of these transitions fails.