Data Valuation: Utility Index
How much is your data worth? A self-calculated utility index 0–100 (usage, lineage, quality).
Framework / standard: ISO/IEC 38505-1 (Value) · DAMA-DMBOK
Every CDO says data is an asset, but few can put a number in front of the CFO. And without a number, the governance budget always loses.
Linedat scores the utility value of each asset on an index from 0 to 100 that self-calculates, and frames it within the four classical approaches to data valuation (cost, market, income and utility).
A utility index that self-calculates
The utility method self-calculates an index from 0 to 100 by combining the recent usage of the asset (40%), its position in the lineage — how many consumers depend on it — (30%) and its quality (30%). It is an objective number to prioritise with: which assets concentrate value and which only generate risk.
Four approaches as a framework
In addition to the utility index, Linedat lets you record economic estimates using the cost, market and income approaches, following classical asset valuation. It is a capability that most catalogues do not even model.
The limits (what we do not claim)
The only method the product self-calculates is utility, and it returns an index (0–100), not a value in euros. The cost, market and income approaches are a framework where the responsible person records their economic estimate: today they have no automatic calculation logic. We do not show or promise a self-calculated value in euros.
How Linedat helps
Linedat gives you an objective number with which to defend the governance investment to management — a self-calculated utility index, with its usage/lineage/quality breakdown.
Related capabilities
Quality stops being an opinion: rules that execute real SQL against the source, in 8 dialects.
Temporal and Verifiable Lineage (Point-in-Time)We know what the lineage looked like on the fiscal year-end — and we can prove nobody touched it.
Data Contracts with Automatic Violation DetectionWithout a contract, every schema change is Russian roulette with someone else's data.