Data foundation

Keep a clear chain from source to calculation.

Useful reporting depends on explicit ownership and lineage. EyeQ makes the route from source fields through transformation and calculation visible to the teams using the result.

  • Source and calculation lineage
  • Metric ownership and definitions
  • Refresh and quality visibility
01

Map sources and contracts

The implementation records where each field comes from, how it is identified and which source owns the fact.

Schema expectations and validation expose missing or changed data before it silently distorts a report.

  • Source inventory
  • Schema and quality checks
  • System-of-record ownership
02

Govern metrics as shared assets

Metric definitions include formula, population, time basis, exclusions and accountable owner.

Reports reference that shared definition so a change can be assessed consistently.

  • Formula and population
  • Time and exclusion rules
  • Owner and review state
03

Expose data freshness and access

Users should know when sources last refreshed and whether a report is complete for the selected period.

Role and purpose controls limit access to sensitive detail while preserving useful aggregates where approved.

  • Freshness indicators
  • Quality status
  • Role-controlled access
Next step

Make the most important metric traceable.

We can start by mapping its source, calculation, owner and consumers.

Discuss the data foundation