Measure your data cost efficiency
Enterprise Data Efficiency is the trusted business value an organisation gets per unit of data effort. Effort has three parts, and this one sizes the first: money — what you spend holding and processing data before anybody has answered a question with it.
Most organisations can state this figure precisely. Very few can state what it buys, which is the whole problem: cloud spend and reporting confidence move independently, so a rising bill tells you nothing about whether the data is working.
Enter your current volumes and expenditure below. The output is a position for your organisation — the share of spend attributable to holding the same information more than once — and it is yours whether or not you ever adopt CryspIQ®.
Estimate Your Cloud Cost Reduction
A quick CFO-level estimate of potential savings from reducing data duplication and reprocessing. No technical inputs required.
This produces a directional range. Validate with your billing categories and current duplication levels for a precise forecast.
- Reduced data duplication lowers storage footprint.
- Defined-once, reused transformations reduce compute reprocessing.
- Fewer pipelines reduce maintenance and reconciliation effort.
What to do with the number
On its own it is a cost. It becomes a measure of efficiency when you put it against what that spend produced — how many questions the business could answer from it without engineering help, and how much of it was held more than once. A large bill supporting a small number of trusted answers is the definition of an inefficient data estate, and it is invisible if you only ever report the bill.