Leverage your existing Power BI and Microsoft data platform infrastructure to bring advanced geospatial insights to rail operations without costly GIS licensing. Break down silos and enable reports and data sharing with partners and the public.
Utilize your existing Power BI and Microsoft data platform infrastructure, eliminating the need for costly additional GIS software such as ArcGIS. Eliminate siloed access to location intelligence with organization-wide unlimited licensing, enabling seamless sharing of reports and data with partners and the general public.
Visualize near real-time or historic location data on track conditions, rolling stock health, and infrastructure wear. Create holistic dashboard views to optimize maintenance schedules and reduce delays and costs.
Pinpoint recurring delay hotspots and contributing factors such as congestion or infrastructure faults. Replay journeys to show cascading effects and allocate resources effectively to reduce compensation payouts.
Analyze environmental factors affecting the rail network. Integrate 3D terrain and soil types with weather patterns and flood-prone areas to refine risk assessments.
Integrate external datasets such as National Tree Map for tree locations along tracks, enriched with metrics like height and species, to assess storm risks.
Visualize incidents across the rail network from high-level trends to station-level insights. Identify issues inside buildings or across the network, such as near-misses at level crossings.
Analyze passenger movement and flows within stations and on trains using in-house data and external sources to identify high-risk hotspots and optimize crowd management.
Real Icon Map renders built from ordinary tables - the track network, its condition, and who can reach it. The walking catchments are computed client-side in the browser on Icon Map's own routing engine, so station and passenger data never leaves your tenant.
Add a live feed and trains move along the same network with trails and playback; bind possession plans and the map becomes the weekly access brief. Icon Map for Microsoft Fabric is in private preview - join the wait list to run these analyses on your own data. The same map, chart, and cross-filter machinery is available today in Icon Map Pro for Power BI.
Condition scores are synthetic for demonstration; the network geometry, routing, and rendering engines are the shipped product.
Icon Map leverages GPU-enhanced visualization to render hundreds of thousands of data-bound objects smoothly, enabling macro and micro geographical insights that were not previously possible.
Track rolling stock performance, track conditions, and infrastructure wear using sensor and IoT data with severity-based color coding.
Use AI-driven analytics to identify wear trends and anticipate component failures, highlighting high-risk areas for intervention.
Identify recurring failure hotspots and long-term degradation patterns. Combine maintenance history with failure data to refine strategies.
Overlay asset health data with service performance to reveal how infrastructure conditions contribute to delays and inefficiencies.
Enhance analysis with external sources like weather, flooding, and temperature to refine risk assessment and prioritize tasks.
Move from reactive to predictive maintenance by using real-world asset data to optimize scheduling based on location.
UK train operating companies collectively paid £138.6 million in passenger compensation under the Delay Repay scheme in 23/24. (gov.uk)
Enhancements in sub-minute data availability via Quartz or GPS tracking enable deeper analysis of the root causes of delays. Combine cloud-native geospatial formats with the latest GPU-enhanced visualization frameworks to unlock insights for proactive delay management.
Track network performance and highlight delays as they occur with severity-based color coding and proactive alerts.
Generate a complete visual timeline of delays by overlaying contributing factors and replaying delays minute by minute.
Identify recurring delay hotspots and patterns to target improvements while assessing high-risk areas such as trespassing and flood-prone zones.
Overlay passenger data to assess the cost impact of delays, estimating potential vs. actual compensation costs.
Identify scheduling issues such as tight train spacing that increase the risk of knock-on delays.
Use AI-enhanced processes to analyze patterns and automatically attribute delays, highlighting potential dispute cases.
Our customer success stories
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…
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…
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…
