Asset location, connectivity, status, and IDs disagree across GIS, EAM, SCADA, and field systems.
Make Network Data Trustworthy Enough for Field and Planning Decisions
Utility network GIS for electricity, water, gas, and telecom organizations improving asset records, topology, field workflows, and spatial analytics.
You probably need this when…
Field changes return slowly or inconsistently, reducing trust.
Planning cannot reliably trace network relationships or exposure.
What the engagement delivers
Every item is tied to an acceptance owner and evidence. Final scope is confirmed after data, security, and integration review.
Network data, topology, identifier, and workflow assessment
Target utility data model and governance rules
Migration, conflation, validation, and reconciliation pipeline
Field editing, trace, asset-risk, outage, or inspection workflow
Integration specifications, quality dashboard, runbooks, and training
From evidence to operational handover
- 01
Assess trust
Quantify completeness, position, topology, identifiers, and workflow delays.
- 02
Design governance
Define authority, edit rights, validation, sync, and exceptions.
- 03
Prove a network slice
Migrate and validate one area and operational workflow.
- 04
Roll out by risk
Sequence assets and regions with reconciliation and adoption support.
How value is verified
No vanity accuracy number. Evidence is chosen around the operational decision and agreed before delivery starts.
- ✓Topology, identifier match, geometry validity, and attribute completeness rates
- ✓Field-to-system update time and exception backlog before and after
- ✓Trace and workflow acceptance tests using known scenarios
Frequently asked questions
Can you work with our network model?+
Yes. We assess vendor-specific, PostGIS, or hybrid models without forcing replacement.
Do you integrate with EAM and field systems?+
Yes. Contracts, identifiers, synchronization, and exception ownership are core concerns.
Can this support outage or risk analytics?+
Yes, once connectivity, identity, and data quality are sufficient for the decision.
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Bring us the problem, not a perfect brief.
Three fields start the conversation. An engineer will help determine fit, data readiness, and the smallest useful next step.
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