Before you build indicators, pilots or dashboards, you need to know where your water governance actually stands. Data Riders ran a structured maturity diagnostic across multiple logistic corridors — the starting point for any serious water strategy.
Six dimensions assessed
Governance and strategy
Existence of corporate water policies, roles, plans and KPIs.
Context, risk and opportunity
Quality of knowledge about basins, communities, water competitors and climate scenarios.
Integration into planning
Degree to which water enters business planning, CAPEX decisions and operational prioritization.
Measurement & performance
Quality of indicators, instrumentation, telemetry and water balance.
Transparency & reporting
Coherence, comparability and reliability of disclosed information.
Global benchmarking
Comparison against international standards and relevant peer practices.
What Data Riders did
- Maturity diagnostic across the five dimensions.
- International benchmarking and best-practice comparison.
- Consolidated gap analysis by logistic corridor.
- Strategy to strengthen governance and monitoring.
- Connection to corporate sustainability targets and reporting.
Verified, source-backed facts
- In 2024 a large mining operator hired Data Riders to assess the maturity of water resources management and identify the current stage of water governance maturity.
- The diagnosis found maturity below basic across five dimensions: governance and strategy; understanding of water context/risk/opportunity; integration into business planning and decision-making; measurement and performance; transparency and reporting.
- The broader project scope included diagnosis of governance and current water balance, global benchmarking, gap assessment, and improved governance and monitoring strategies across the South, Southeast and North corridors.
Sources: water-resources optimization report and integrated report deck (internal Data Riders material, client kept anonymous).
Documented value
Clear diagnosis of weaknesses and a baseline for governance redesign, operational pilot and more robust reporting.
Related reads, cases and services
- Case: Water management pilot at a mining complex
- Case: Water KPI tree aligned with WAF
- Case: Water balance data reliability methodology
- Service: Water Management with AI
- Blog: Document Intelligence in mining
Editorial note. The diagnostic findings and dimensions are documented. Quantified post-diagnostic improvements will be added once published by the client alongside the follow-up implementation wave (see the Water Management Pilot case).