P16 · Representative solution case · Government / Telecom / Enterprise

Telecom Coverage & Quality GIS

Can planners and regulators reconcile claimed coverage, measured experience and complaints at the same location?

Evidence distinction: this is a representative solution case constructed from the source requirements and Mappls delivery pattern. It is not presented as a named-customer outcome unless a separate verified customer story is explicitly linked.

01 · Operating context

The decision environment and the problem to change

Coverage, quality, drive-test, complaints and infrastructure data are fragmented, making regulatory and investment decisions hard to verify spatially.

Primary operating owner

DoT/TRAI Advisor; CTO/Network Planning Head; Regulatory/Quality Head

Economic decision

Secretary/Chairman; Telco CTO/COO

Technical influence

RF Planning; GIS; Data Engineering; Drive Test/Crowdsourcing; IT

Why action becomes urgent

QoS regulation, 5G/6G expansion, coverage audit, USOF/DBN programme, network merger, drive-test procurement.

02 · Before and after

Change the operating model, not only the interface

Before Mappls

Fragmented context and delayed action

Coverage, quality, drive-test, complaints and infrastructure data are fragmented, making regulatory and investment decisions hard to verify spatially.

  • Location, operational and enterprise data remain separated
  • Stakeholders make inconsistent decisions from partial context
  • Exceptions are found late and evidence is difficult to reconstruct
With Mappls

A governed location-aware decision loop

National GIS platform, coverage and call-drop mapping, crowdsourced/drive-test integration, broadband penetration analytics, dashboards and APIs.

  • One role-aware workspace in Mappls Coverage Experience Builder
  • Live context moves directly into the responsible workflow
  • Every decision, scenario and outcome can be measured and audited

03 · Stakeholder experience

One shared system, different role moments

Own and govern

DoT/TRAI Advisor

Own and govern

CTO/Network Planning Head

Decide and coordinate

Regulatory/Quality Head

Decide and coordinate

Secretary/Chairman

Decide and coordinate

Telco CTO/COO

Execute and verify

RF Planning

Execute and verify

GIS

Execute and verify

Data Engineering

Inside Mappls Pro, the same user can hold this role here and a different role in another application. Membership, saved runs and administration remain app-specific.

04 · Day-in-the-life journey

How the solution turns information into an operational result

01

Frame the operating decision

Which feeds exist? Spatial granularity? Data latency? Complaint geocoding? Planning tools? Neutrality/security needs? Publication policy?

02

Connect the location foundation

Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Coverage workspace.

03

Act through role workflows

Coverage ingestion, Layer styling, Search experience, Locations, Publish & monitor give each stakeholder the information, decision and action appropriate to their role.

04

Prove the intervention

6–8 week circle pilot with ingestion, harmonisation, map analytics and dashboard/API.

05

Scale and continuously improve

Operationalise the model through Enterprise platform/site licence + ingestion/connectors + API/data subscription + AMC., adoption governance, service measurement and a managed improvement backlog.

05 · Solution and data architecture

The Mappls capabilities behind the experience

Location foundation

Map, address, place, route, imagery, boundary and context layers

Operational context

Customer, asset, order, sensor, incident, task or transaction records

Application workflow

Coverage ingestion · Layer styling · Search experience · Locations · Publish & monitor

Outcome loop

Data reconciliation; spatial accuracy; query performance; accepted gap insights; production governance/security.

ClarityX Location Analytics

Market, territory, network and spatial decision analytics

Product details

Survey, Integration & Managed Updates

Field survey, data creation, integration, migration, validation and O&M

Product details

InTouch / Gtropy Fleet Platform

Tracking, trips, alerts, ETA, fleet and control tower

Product details

Private/On-prem/Offline Map Platform

Secure map engine, APIs and GIS for private or air-gapped deployment

Product details

06 · Outcome and evidence

Make the value claim measurable before scaling

Value hypothesisBusiness case: better capex prioritisation, fewer complaint-handling cycles, auditable quality monitoring and reduced duplicate field testing.
Success criteriaData reconciliation; spatial accuracy; query performance; accepted gap insights; production governance/security.

Bounded proof

6–8 week circle pilot with ingestion, harmonisation, map analytics and dashboard/API.

  • Confirm the baseline and decision scope: Which feeds exist? Spatial granularity? Data latency? Complaint geocoding? Planning tools? Neutrality/security needs? Publication policy?
  • Use representative and, where approved, customer data in the configured workspace
  • Review measurable success with the operating and economic owners: Data reconciliation; spatial accuracy; query performance; accepted gap insights; production governance/security.
  • Document data quality, adoption, security, service and scale findings
  • Convert evidence into a phased production scope and accountable value plan

07 · Governance and scale

Operate the solution safely and sustainably

Identity and access

Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.

Data governance

Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.

Operating governance

Named process owners, exception SLAs, escalation, change control and adoption measurement.

Value governance

Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.

Your outcome, powered by Mappls

Put Telecom Coverage & Quality GIS into your operating context

Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.

Talk to an expert