A water KPI tree is not a dashboard exercise — it is the vertebral column of water governance. Data Riders designed a hierarchy of indicators fully aligned with the Water Accounting Framework (WAF) and the governance metrics expected by regulators and peers.
Dimensions of the indicator tree
Water balance
Inputs, outputs and storage per period, with stated precision.
Water security
Scarcity risk, hydrological dependency and climate scenarios.
Water quality
Parameters by source and destination, treated effluent and discharge.
Resource provisioning
Permits, new intake, reuse, losses and operational consumption.
Financial
Water cost, investment and economic performance of water use.
Vertical integration
From field data to strategic and reputational indicators.
Operational KPI logic
- Operational availability.
- Demand.
- Reused water vs. fresh water.
- Operational consumption.
- Water embedded in the product.
- Treated and discharged effluents.
Verified, source-backed facts
- Water-management indicators were defined and hierarchised to ensure traceability of inflows, reuse and discharge and to evaluate risks related to water availability, regulatory conformance and financial performance.
- The KPI structure covers water balance, water security, water quality management, resource provision and finance, with vertical integration from field data to strategic and reputational indicators.
- Specific KPI logic includes operational availability, demand, reused vs. new water, operational consumption, water in product, treated/discharged effluents — all tied to traceability and consistency.
- Implementation is explicitly linked to stronger maturity, more reliable data, and greater transparency for stakeholders.
Sources: pilot report and water-resources kick-off KPI slides (internal Data Riders material, client kept anonymous). Aligned with the ICMM Water Accounting Framework (WAF).
Documented value
- End-to-end traceability.
- More coherent and auditable reporting.
- Greater transparency for stakeholders.
- Direct uplift to water-governance maturity.
Related reads, cases and services
- Case: Water management pilot at a mining complex
- Case: Water balance data reliability methodology
- Case: AI agent for water balance
- Service: Water Management with AI
- Blog: Document Intelligence in mining
Editorial note. The KPI architecture and WAF alignment are documented. Specific operational KPI values and site-level targets will be added as the client releases them for external publication.