Non-Revenue Water and Demand Forecasting Analytics

We offer water network SCADA data mining for the following:

  1. Non-Revenue Water - District Metered Area (DMA) analytics with up to 5 years of data

  2. Demand Forecasting - Subzone analytics with up to 20 years of data

  3. Comprehensive Analytics (Both 1 & 2)

We provide a free comparison of Subzones/DMAs when purchasing data mining for three or more.

To receive a quote, please contact us with service preference and the number of Subzones/DMAs to be analyzed.

The image shows non-revenue water leakage from an above ground cast iron pipeline.

Non-Revenue Water Service

Leakage reduction is one of the most cost-effective ways to improve network efficiency. Our data mining service analyzes up to five years of SCADA data per DMA, uncovering insights that spreadsheets simply miss. Our service helps utilities:

  1. Improve the ROI by prioritizing maintenance to reduce water loss

  2. Set baselines to monitor leakage and track progress

  3. Quantify financial losses from hydrant water theft

  4. Quantify pipe failure events for simplified reporting

  5. Quantify large customer events for redundancy when smart meters fail; and

  6. Detect sensor issues early to reduce downtime and improve monitoring.

The picture shows a large water main right angle bend with a valve

Demand Forecasting Service

Accurate demand forecasting is critical for operational planning and long-term infrastructure investments. Our data mining service analyzes historical SCADA data per subzone, helping utilities model future water demand with confidence. Our service provides:

  1. Demand profiles to optimize maintenance schedules

  2. Peak flow analysis for informed infrastructure planning

  3. Quantified fire flows to enhance fire preparedness strategies

  4. Unaccounted-for water metrics for improved hydraulic modeling; and

  5. Flow meter data gap filling to ensure no data is lost.

Why Cleaned SCADA Data Matters for Hydraulic Modeling

Hydraulic models rely on accurate, high-quality input data - but SCADA data is often messy and difficult to analyze in spreadsheets. Our structured data cleaning process ensures consistency, enabling hydraulic models to produce the most reliable simulations. This supports:

  • Infrastructure investment decisions, such as pipe upgrades and capacity planning

  • Scenario analysis for emergencies like droughts or system failures; and

  • Optimized pump and valve operations to reduce energy costs.

Get Started Today

We offer a free comparative analysis for utilities purchasing data mining for three or more Subzones/DMAs.

Book a consultation today and improve the ROI on your SCADA data.

 Book a Consultation