Unlock Smarter Water Management with Clean SCADA Data

Water utilities face complex decisions every day - across Operations, Asset Management, and long-term Planning.

SCADA data sits at the center of these decisions. But for that data to support smarter management, it needs to be clean, consistent, and trusted across the entire organization.

Too often, different teams work from separate spreadsheets or apply their own data cleaning processes.

This fragments the view.

Everyone sees something slightly different - delaying decisions, increasing risk, and making collaboration harder.

A unified data cleaning protocol solves this.

It delivers a standardized dataset that every team can rely on - streamlining reporting and bringing clarity to critical decisions.

The Elephant in the Room

AI is increasingly shaping how utilities monitor and manage their networks - from defect detection to chat-based interfaces. The potential is enormous.

But there’s a catch:

These tools are only as good as the data that feeds them.

As the saying goes: garbage in, garbage out.

To get real value from AI, SCADA data must first be cleaned and structured.

Once this is done, two key capabilities emerge:

  1. Plain English insight - Cleaned time series data enables automated situational awareness via email, SMS, and AI-driven chatbots for decision support (link to blog).

  2. Forecasting with confidence - Cleaned data powers short-term operational predictions and long-term planning models, helping reduce capital expenditure and operational risk (link to blog).

Spotting the Peaks that Matter

The figure below shows cleaned daily water consumption patterns across six subsystems.

The grey dots represent daily water consumption, while the colored dots highlight key peak demand events - including the highest recorded hour, day, and week, the 95th percentile threshold, and today’s demand.

What stands out is the ability to quickly spot anomalies, compare subsystem behavior, and identify trends that matter - not just in hindsight, but in real time.

With this clarity, Operators and Planners can confidently ask:

  • What’s driving today’s demand?

  • Has this happened before?

  • How do different subsystems behave under high demand?

  • What does this mean for infrastructure planning?

Figure showing daily water consumption patterns accross six subsystems. Grey dots represent  daily consumption, and colored markers highlight peak demand events, including Peak Hour, Peak Day, Peak Week and 95th percentile thresholds and today's Cons

Figure 1 Comparison of peak flows across multiple subsystems, highlighting Peak Hour, Peak Day, Peak Week and 95th percentile events

Clean Once, Use Everywhere

When SCADA data is cleaned through a single, consistent process, it becomes a powerful asset for the entire utility.

Instead of working in silos, teams can tap into a shared source of truth - driving better collaboration, faster insights, and smarter decisions.

This shared foundation improves responsiveness, aligns teams, and reduces the risk of misinterpretation.

When the data is trusted, teams move faster.

Plans become clearer.

And costly errors are avoided before they happen.

Turning SCADA Data into a Strategic Asset

We follow a documented QA process to clean, structure, and standardize SCADA data - transforming it into a strategic asset.

One that’s ready for dashboards, AI tools, and decision-makers alike.

If you’re ready to get more from your data, we’d love to show you how.

Book a consultation and discover how clean SCADA data can unlock faster, smarter decisions for your utility.

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