Icon Map turns routine operational and customer data inside Power BI or Microsoft Fabric into location-aware insight, driving safer networks, happier customers, and stronger returns.
Infrastructure Performance & Service Reliability
Leverage real-time geospatial visualization to streamline network operations, enhance asset resilience, and proactively manage field activities. Spatial analytics across historical and live data improve service uptime, safety, and regulatory compliance.
Outage & fault heat-maps
Visualize live incident density to dispatch crews promptly, cut downtime, and improve customer updates.
Real-time load & capacity mapping
Monitor network flow, pressure, or bandwidth in context, preventing overloads and balancing demand dynamically.
Predictive maintenance hotspots
Identify assets with rising failure risk, schedule works ahead of time and reduce emergency call-outs.
Field crew routing & job status
Map crew locations, optimize travel, and track task progress for faster restoration and lower costs.
Asset age & risk visualization
Reveal aging pipes, cables, or masts spatially, prioritizing renewal investment where risk is highest.
Energy & sustainability dashboards
Track consumption, leakage, and carbon intensity across estates, supporting net-zero and ESG targets.
Mobile Network Coverage & RF Analytics
Icon Map for Microsoft Fabric includes a native telecoms coverage layer: point it at a cells table in your Lakehouse - one row per cell, with azimuth, beamwidth, tilt, and band - and your whole radio network renders as live, interactive coverage. No GIS exports, no coverage-prediction round trips, no copying data out of Fabric. Because the wedges are driven by the same tables as the rest of your report, the map always shows the network as your OSS knows it today, colored by the KPIs your engineers already track.
Every wedge is one cell. True azimuth, beamwidth, and range, with radial falloff fading toward the cell edge and multi-band sites stacking their carriers. Color is a standard class-breaks rule on average downlink throughput - the struggling cluster in the east is impossible to miss. Rendered live in Icon Map from the sample network dataset.
Your data, not a black box
Bind columns for azimuth, beamwidth, vertical beamwidth, mechanical and electrical tilt, antenna height, range, frequency, and band. Anything missing degrades gracefully - no azimuth renders omni, no range falls back to a fixed or estimated radius.
KPI-driven coloring
Color wedges by PRB utilization, drop rate, throughput, or any measure with single colors, gradients, class breaks, or conditional rules - the same color engine as every other Icon Map layer.
Estimated range when planning data is missing
No range column? An indicative COST231-Hata link budget computes each cell's reach from frequency, transmit power, and antenna height, with clutter class, target signal level, and margins exposed as plain-language controls.
Selection & cross-filtering
Click a wedge and the rest of the network dims. Selection granularity is yours - cell, sector, site, or band - and the selection flows into the standard cross-filter pipeline, so KPI trend charts, tables, and slicers all follow. Lasso and radius tools select whole areas.
Multi-band sites, readable
A sector carrying 800 MHz, 1800 MHz, 2600 MHz, and 3.5 GHz can draw each band at its true reach, or stack them as concentric rings so band build-out is readable across the whole network.
Fabric-native by design
Cells, KPIs, and measurements are ordinary Lakehouse tables governed by your workspace roles. All rendering and RF computation happens client-side in the browser - network topology never leaves your tenant.
Diagram mode. Every site draws at a constant screen size with its bands as concentric rings - the whole-network health view, readable at any zoom. Overlapping sites automatically collapse to dots and expand as you zoom in.Best-server dominance. A GPU-computed overlay colors every point by its strongest serving cell - by site, band, or cell - recomputed as you pan. Handover boundaries between sites become visible geography.
Coverage in three dimensions
Tilt the map and sectors rise into translucent 3D coverage lobes built from the real antenna parameters - apex at antenna height, boresight following mechanical plus electrical tilt, spread by horizontal and vertical beamwidth. A glass style for presentations, a blueprint wireframe style for engineering reviews, and 3D masts with one panel per sector azimuth. The volumes are rendered with a custom globe-aware pipeline, so they are correct on flat projections and the 3D globe alike.
Blueprint volumes over Altrincham - mid- and high-band lobes drawn as wireframe shells, colored by the same KPI class breaks as the 2D footprints. Rendered live in Icon Map from the sample network dataset.
Coverage that respects the terrain and the city
Enable coverage occlusion and the lobes and footprints are clipped against line of sight, computed on the GPU from the map's terrain elevation model and the basemap's own 3D buildings. Streets shadowed by a tower block fall out of the footprint exactly where they would in reality. It is honest about physics too: below 1 GHz, where diffraction fills in behind obstacles, clipping is off by default and clearly labeled indicative.
Line-of-sight occlusion - buildings carve shadows out of the coverage, on the ground and in the 3D volumes. Illustration; geometry matches the shipped behavior.Real antenna patterns. Upload manufacturer MSI files and map them to cells by antenna model - footprints and lobes take the measured gain envelope's shape, back lobes and nulls included. Illustration of the pattern-shaping rule.
From coverage picture to network analytics
The layer is built to answer operational questions, not just draw the network. Bind a handover-relations table and selecting a cell draws its neighbor arcs - width by attempts, color by success rate - so a failing adjacency stands out instantly. Land drive-test or crowdsourced measurements in a table and hexbin them over the wedges with the standard grid layer; link them by serving cell and weak coverage and the cells serving it select each other across the report.
Neighbor & handover arcs for the selected cell - the red arcs are the relations that are failing. Illustration.Drive-test overlays. RSRP/SINR samples hexbinned over the wedges - weak hexes sit visibly in the coverage gaps, and cross-filter the serving cells. Illustration.
Straight from your OSS
Getting the cells table is not a project. A ready-made Fabric notebook ships with Icon Map that parses vendor configuration exports - Ericsson ENM Bulk CM XML, Nokia NetAct RAML, Huawei U2020 exports, and plain CSV dumps - into a ready-to-map cells table in your Lakehouse, deriving bands and frequencies from channel numbers and normalizing vendor units along the way. Performance KPIs land beside it through your existing pipelines, and public data like OpenCelliD can stand in as a demo network for any country.
Icon Map for Microsoft Fabric is in private preview - join the wait list to try the telecoms coverage layer with your own network data.
Screenshots are rendered live in Icon Map from a synthetic Greater Manchester demonstration network; illustrations are marked as such.
Customer Insights & Revenue Optimization
Leverage real-time geospatial visualization to streamline network operations, enhance asset resilience, and proactively manage field activities. Spatial analytics across historical and live data improve service uptime, safety, and regulatory compliance.
Demand & consumption segmentation
Map usage patterns by customer type, tailoring tariffs, efficiency programs, and marketing.
Service coverage / travel-time gaps
Quantify underserved areas, justify network expansion, and improve universal service compliance.
New service uptake forecasting
Combine property development and demographic trends to prioritize fiber roll-outs or smart-meter installs.
Churn & complaint hotspot mapping
Detect areas with high cancellations or faults, target service improvements, and boost satisfaction.
Competitor network overlay analysis
Visualize rival infrastructure to inform pricing, partnership, and merger decisions.
Climate resilience & adaptation modeling
Present portfolio-level views with instant drill-down to project KPIs, supporting evidence-based funding cases.
Why Choose Icon Map?
Our customer success stories
Optimizing Christmas Eve: How Santa Uses Icon Map to Put Every Child on the Map
North Pole Logistics is the exclusive global operator responsible for delivering presents to children who celebrate Christmas. Operating from a single distribution center at the North Pole, the organization must reach more than 900 million homes in one extend…
Enhancing Fiber Deployment and Commercialization with Icon Map Pro at Orange Concessions
Orange Concessions is the leading public-private fiber network operator in rural France. Through long-term public service delegation contracts, it manages a rapidly expanding network infrastructure designed to bring high-speed broadband access to underserved…
Transforming Rail Safety: The Power of Location Intelligence in Action at SNCB
Safety is a cornerstone of SNCB’s operational strategy. As Belgium’s national railway operator, SNCB places significant emphasis on the safety and security of both passengers and staff. CEO Sophie Dutordoir recently stated that all employees' work "deserves r…