Measure your reporting effort efficiency
Enterprise Data Efficiency is the trusted business value an organisation gets per unit of data effort. This sizes the second part: effort — the skilled human time spent turning data an organisation already holds into an answer somebody trusts.
It is the part that rarely appears in a data budget. Cloud spend is a line item; a finance analyst spending three days reconciling two reports that disagree is not, and neither is the queue of people waiting on a report that only one team can produce.
Enter your team size and current reporting effort. The output is a position for your organisation, not a CryspIQ® saving.
Estimate Your Productivity Gain
A CFO-level estimate of capacity and cost value released by reducing manual reporting and reconciliation effort. No technical inputs required.
This produces a directional range based on manual effort and friction signals. Validate with your reporting calendar and current workflows for a precise plan.
- Defined-once metrics reduce rebuild and reconciliation cycles.
- Unified enterprise data model reduces spreadsheet dependency.
- Governed definitions improve trust and shorten reporting turnaround.
What to do with the number
Effort spent producing an answer is effort not spent acting on it, and it is the part of the data estate that scales worst — every new source and every new consumer adds to it. An organisation whose reporting effort grows in step with its data volume is not becoming more efficient at data, however much capacity it adds.