Measure your time to a trusted answer
Enterprise Data Efficiency is the trusted business value an organisation gets per unit of data effort. This sizes the third part: time — the delay between a business question being asked and an answer arriving that somebody is willing to act on.
Time is the part executives feel and rarely measure. A decision deferred by six weeks because the data was not ready has a cost that appears in no data budget, and the delay is usually attributed to the question being complicated rather than to the estate being slow.
Enter your current delivery timelines below.
Estimate Your Time-to-Value Acceleration
A quick CFO-level estimate of the impact of accelerating reporting, analytics and AI initiatives by up to 75%. Directional inputs only.
This produces a directional range. Validate with your current delivery calendar and resourcing for a precise plan.
- Reusable governed definitions reduce rework and KPI disputes.
- Enterprise data model foundations prevent initiative-by-initiative rebuild.
- Fewer reconciliation cycles shorten the path to board-ready reporting.
What to do with the number
The figure to watch is not the average but the floor: how quickly a new question can be answered, one nobody anticipated when the model was built. An estate that answers predicted questions instantly and unpredicted ones in six weeks is optimised for the reports it already has, which is a different thing from being efficient.