The Hierarchy Data Tree Dashboard gives utilities a clear upstream to downstream view of their wastewater network, showing how individual areas and monitoring locations contribute to overall pollution at the WWTP.
Understanding wastewater quality at the plant starts with understanding what happens upstream. As collection systems grow more complex, it becomes increasingly difficult to see how individual monitoring points, areas, and collectors contribute to overall pollution reaching the WWTP.
To address this challenge, we are introducing the Hierarchy Data Tree Dashboard. A new way to visualize your wastewater network, understand pollution contributions across the system, and move seamlessly from high level insight to actionable detail.
See Your Network the Way Contamination Moves Through It
The Hierarchy Data Tree dashboard provides a structured, intuitive view of your collection system. From the WWTP upstream to main collectors, areas, and individual monitoring locations.
Each node in the hierarchy shows:
Pollution Score and severity
Contribution to total pollution reaching the WWTP
Clear visual indicators to help teams prioritize attention
Using filters, teams can also choose to display where automated samplers are installed across the network. This flexibility allows users to assess pollution impact on its own or in direct relation to existing monitoring coverage.
This makes it easy for teams across the utility, from operations to management, to understand where pollution is coming from, how it accumulates as flows move downstream, and how monitoring assets are currently deployed.
From Overview to Action in One Click
The hierarchy is not static. It is designed to connect insight with action.
Click on a map icon to jump directly to the Map dashboard
Explore the exact location of events, understand spatial context, and review pattern behavior and Pollution Index trends.
Click on a location title to open the Wastewater Quality Overview dashboard
Review historical quality trends, discharge patterns, severity distribution, and supporting context for that specific monitoring point or area.
This enables teams to move naturally from system level questions to event level investigation without switching tools or exporting data.
Smarter Decisions About Monitoring and Sampling
One of the most powerful benefits of the hierarchy view is its ability to support better deployment decisions.
By enabling sampler visibility through filters, teams can quickly distinguish between monitored and unmonitored areas and evaluate whether existing coverage still aligns with current risk.
Utilities often deploy automated samplers based on initial assumptions about pollution sources. Over time, conditions change. Industrial behavior shifts. New contributors emerge.
Identify areas contributing more pollution than expected
Compare monitored vs unmonitored segments of the network
Re evaluate where automated samplers are placed
Decide where samplers should be relocated to maximize impact
Instead of monitoring where you always have, you can monitor where it matters most today.
A Shared View for the Entire Utility
Because the hierarchy mirrors how utilities already think about their networks, it becomes a common language across teams.
Operations, pretreatment, engineering, and leadership can all see:
Where Kando is deployed
What insights are being generated
How upstream behavior affects plant performance
This shared visibility supports better collaboration, faster alignment, and more confident decision making.
Designed for Clarity, Built to Scale and Interdepartmental Collaboration
As networks grow and monitoring programs evolve, understanding system wide impact becomes more challenging.
The Hierarchy Data Tree dashboard brings structure to complexity. It connects pollution scores to real locations, links insight to action, and helps utilities continuously optimize how they monitor and manage wastewater quality upstream.