Outage event reconciliation
Service teams cannot reconcile incident, asset, and customer outage records reliably.
The challenge behind the workflow.
Service teams cannot reconcile incident, asset, and customer outage records reliably.
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
- Outage incidents
- Asset dependencies
- Customer service points
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
Map events to maintained service-point and asset references.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Identify conflicting incident boundaries and missing restoration evidence.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Deliver a shared outage history for approved service and engineering review.
Make the output available to the right people with appropriate access, ownership, and review evidence.
An outage event review workspace
Make the next run easier.
A common incident model reduces repeated matching across operational reports.
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 assembling a reviewed outage history
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Engineers confirm affected scope and restoration; analytics does not operate the network.
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.