Visualization and analysis on top of Big Data (network and non-network) from multiple sources, where knowledge of position and time allows for extraction of space-time dependent insights
Generating knowledge and reports through the spatio-temporal fusion of position- and time- related data and exploitation of aggregated KPI(s)/ metadata information as well as advanced big data analytics and ML/AI-based results for supporting optimal decisions.
Incelligent’s GIS – GeoAnalytics Platform, a standalone component which is also part of the RAN.ai suite of solutions for improving telecom RAN operations.
Enabling Geospatial Insights on top of Big
(Network and Non-Network) data
DESCRIPTION WHAT WE HAVE DONE/ACHIEVED
We have created a platform that delivers advanced GeoAnalytics and enhanced monitoring and visualization of both historical and near real-time Big Data that are accompanied with metadata information like the location of an entity and time of a given location/measurement. In this context, it enables the spatiotemporal fusion of the information so that the various KPIs and advanced analytics can be represented on top of a map for any given time/timeframe chosen by the user of the tool and where a value, color and/or label can be assigned at level of (a) a point (specific entity), (b) a smaller scale spatial bin (raster), or (c) a shape defined by multiple edges.
It has been deployed successfully as part of our RAN.ai solution in the premises of a Greek Telecom Operator and is being used by engineers and upper management for monitoring network performance, identifying area network quality profiles and supporting decision making.
Incelligent Development & Product Team