Topic starter
08/07/2026 7:09 pm
TL;DR: Digital twins let telecom operators simulate network behaviour, test automation safely, and improve planning across fixed and mobile environments, according to Comarch. Their value is capped when real-time data, inventory reconciliation, and legacy system fragmentation prevent the model from reflecting the live network accurately.
Editorial analysis by NHI Mgmt Group, based on content published by Comarch: “Using Digital Twins for Advanced Network Management and Optimization”.
Key questions
Q: How should telecom operators govern digital twin data quality?
A: They should treat the twin as only as trustworthy as the inventory, telemetry, and reconciliation feeding it.
Q: Why do digital twins fail when telecom inventories are fragmented?
A: Because fragmented inventories create conflicting versions of network truth.
Q: What should teams do before letting a digital twin drive automation?
A: They should validate the twin in a sandbox against realistic data and compare its outputs with live operational behaviour.
Practitioner guidance
- Establish a reconciled network inventory Create a single operational view that continuously reconciles assets, configuration, topology, and logical dependencies across domains and vendors.
- Validate data freshness before automating decisions Set explicit freshness thresholds for telemetry and inventory feeds so automation does not act on stale or partial network state.
- Use the twin as a pre-production control surface Test self-healing, self-configuration, and optimisation logic in a sandbox before any policy or configuration change reaches live systems.
Bottom line: The article shows that telecom digital twins are only useful when the live network model is accurate enough to support operational decisions.
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08/07/2026 7:34 pm
Digital twin governance is really data governance in disguise: the article shows that simulation value collapses when inventory, telemetry, and reconciliation are not reliable. Telecom operators are not buying accuracy from the twin itself. They are borrowing confidence from the quality of the state data underneath it. The practitioner conclusion is that operational trust must be engineered upstream, not assumed from the visualisation layer.
A question worth separating out:
Q: What does a digital twin change for legacy telecom operations?
A: It shifts modernization from static planning to continuous operational verification. Legacy environments with rigid procedures and scattered data can still benefit, but only if the twin is paired with reconciliation and authoritative inventory. Otherwise, the organisation gains better visibility without improving decision quality, which leaves operational risk largely intact.
👉 Read our full editorial: Digital twins in telecom expose the limits of legacy network ops