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:
To identify where and why value is lost across the data-to-decision lifecycle.
At its simplest:
DATA → INSIGHT → DECISION → ACTION → FINANCIAL IMPACT
Value gaps occur when one of these transitions fails.