Numbers in a water balance only mean something if the data underneath can be trusted. Data Riders introduced a structured reliability classification and a precision declaration to turn balance reporting into something actually auditable.
Three-tier reliability classification
High
Automatic, calibrated measurement with redundancy and consistent history.
Medium
Partially automated measurement with known uncertainties and adequate frequency.
Low
Estimate, sporadic manual measurement or proxy data.
Precision declaration
- Identification of existing measurement points.
- Determination of the reliability level at each point.
- Proposed actions to improve reliability through instrumentation.
Management impact
- Prioritize automation and sensor installation where marginal value is highest.
- Revise collection frequency and update monitoring and control plans.
- Inform the annual budget with objective criteria.
Verified, source-backed facts
- The proposed improvement introduces a formal layer of analysis over the reliability of data used in water-balance calculations.
- Each collected variable is classified as high, medium or low reliability using premises from PNR-000035, producing a reliability table with confidence percentages.
- The diagnosis supports prioritization of automation, sensor installation, improved collection frequency and updated monitoring/control plans — and feeds directly into the annual budgeting cycle.
- The “declaration of precision” work includes identifying existing measurement points, determining reliability levels, and proposing instrumentation actions to raise current reliability.
Sources: water-resources optimization report and supporting presentation materials (internal Data Riders material, client kept anonymous). Aligned with ICMM Water Accounting Framework and ICMM Water Stewardship Maturity Framework.
Documented value
More transparency, better traceability and more defensible environmental reporting. Alignment with the Water Accounting Framework and the ICMM Water Stewardship Maturity Framework.
Related reads, cases and services
- Case: Water KPI tree aligned with WAF
- Case: Water management pilot at a mining complex
- Case: AI agent for water balance
- Service: Water Management with AI
- Blog: Document Intelligence in mining
Editorial note. The methodology, classification levels (high/medium/low) and their use in budgeting and monitoring plans are documented. Specific reliability percentages at site level will be added when published by the client.