Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P16 · Implementation blueprint · Mappls Coverage Experience Builder
Telecom Coverage & Quality GIS
Coverage, quality, drive-test, complaints and infrastructure data are fragmented, making regulatory and investment decisions hard to verify spatially.
01 · Target operating outcome
Define the change before choosing the technology
Can planners and regulators reconcile claimed coverage, measured experience and complaints at the same location?
Business case: better capex prioritisation, fewer complaint-handling cycles, auditable quality monitoring and reduced duplicate field testing.
Target
Data reconciliation; spatial accuracy; query performance; accepted gap insights; production governance/security.
02 · Solution architecture
One connected flow from source data to operational action
National GIS platform, coverage and call-drop mapping, crowdsourced/drive-test integration, broadband penetration analytics, dashboards and APIs. We create the shared location intelligence layer that makes coverage and experience comparable, explainable and actionable.
Data foundation
Map, customer, asset, sensor and enterprise data
Intelligence services
Search, routing, GeoAI, rules and spatial models
Role workflows
Coverage ingestion · Layer styling · Search experience · Locations · Publish & monitor
Decision and outcome
better capex prioritisation, fewer complaint-handling cycles, auditable quality monitoring and reduced duplicate field testing.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
DoT/TRAI Advisor
Sponsor / owner
CTO/Network Planning Head
Manager / analyst
Regulatory/Quality Head
Manager / analyst
Secretary/Chairman
Manager / analyst
Telco CTO/COO
Operator / specialist
RF Planning
Operator / specialist
GIS
Operator / specialist
Data Engineering
Operator / specialist
Drive Test/Crowdsourcing
Operator / specialist
IT
The shared Mappls identity is separated from application membership. A user can be an administrator in one app, an analyst in another and a viewer elsewhere.
04 · Data and integration
Connect the minimum information needed to make the workflow real
Location foundation
Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.
Enterprise context
Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.
Integration pattern
APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.
Security and control
Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.
Recommended Mappls building blocks
ClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsSurvey, Integration & Managed Updates
Field survey, data creation, integration, migration, validation and O&M
Product detailsInTouch / Gtropy Fleet Platform
Tracking, trips, alerts, ETA, fleet and control tower
Product detailsPrivate/On-prem/Offline Map Platform
Secure map engine, APIs and GIS for private or air-gapped deployment
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
6–8 week circle pilot with ingestion, harmonisation, map analytics and dashboard/API.
- Confirm data, geography, users and workflow: Which feeds exist? Spatial granularity? Data latency? Complaint geocoding? Planning tools? Neutrality/security needs? Publication policy?
- Configure Mappls Coverage Experience Builder for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Data reconciliation; spatial accuracy; query performance; accepted gap insights; production governance/security.
- Package production scope and commercial model: Enterprise platform/site licence + ingestion/connectors + API/data subscription + AMC.
06 · Rollout and operating model
Move from proof to governed adoption
Week 0–2
Discover
Baseline, data, stakeholders, security and architecture
Week 3–6
Configure
Data connection, role workflows, rules and dashboards
Week 7–10
Prove
Live users, measurement, change support and decision review
Production
Scale
Phased geographies, integrations, service model and continuous improvement