Meter data quality reconciliation
Consumption data contains gaps and inconsistent units that complicate billing and planning.
The challenge behind the workflow.
Consumption data contains gaps and inconsistent units that complicate billing and planning.
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
- Meter readings
- Meter asset records
- Approved validation rules
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 meter identifiers, intervals, and units while preserving original measurements.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Identify missing intervals, duplicate readings, and inconsistent asset mappings.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish a review queue with measurement provenance and data-quality status.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A meter data quality workspace
Make the next run easier.
Reusable interval checks reduce repeated manual cleaning across meter feeds.
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
Unresolved meter data exceptions
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Authorized specialists approve corrections and any estimation method.
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.