Water balance reconciliation
Utilities need to distinguish measurement gaps from unexplained differences across supply and consumption records.
The challenge behind the workflow.
Utilities need to distinguish measurement gaps from unexplained differences across supply and consumption records.
Connect meter, asset, customer, outage, and planning data across the enterprise. Support reliable analysis and review without using an analytical workflow as a substitute for certified operational control systems.
Data to bring together
- Supply measurements
- Consumption totals
- Network zone references
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Align zone boundaries, units, and reporting windows across measurements.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Reconcile balances and flag missing inputs or persistent unexplained differences.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish a zone review pack with data coverage and responsible owners.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A water balance review dataset
Make the next run easier.
A shared balance model reduces recurring spreadsheet reconciliation.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Time resolving unexplained water balance differences
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Engineering specialists validate measurement boundaries and any field investigation.
AI with professional judgment.
Use AI to summarize asset and service evidence. Engineers and authorized staff approve operating, billing, and customer decisions.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.