Our Device Analytics solution measures the wireless connectivity performance of mobile devices of all kinds, sending performance measurements to a central database containing an analysis tool.
OUR KEY BENEFITS
Ericsson Device Analytics is based on the measurement of user connectivity in real devices in real time (as opposed to crowd-sourced measurements, which only give a snapshot of the quality in a given area). This delivers unique insights into how devices and networks are performing at any moment in time, which can be harnessed to perform root cause analysis in case of malfunctions as well as for real time decision-making on how devices should connect to a network.
By tracking the movement of devices and the quality of networks as they move, it is possible to predict where a given device will be located next as well as what connectivity will be like in that location. Ericsson Device Analytics bases these predictions on advanced machine learning algorithms. For vehicle manufacturers, this is of special value, enabling them to understand how (or if) a vehicle is connected in order to buffer infotainment data at the appropriate time (for example, when a vehicle moves into an area with poor coverage) as well as schedule software upgrades and the monitoring of vehicles when most suitable.
Ericsson Device Analytics makes it possible to analyze how different devices behave and work in networks — a valuable feature for service providers seeking to optimize their networks across a variety of devices. It also delivers, for example, insights for vehicle manufacturers into which networks are the best to be connected to in a given location.
With usage of Ericsson’s Device Analytics solution, service providers can monitor IoT devices, such as vehicles, drones, and more, and analyze how they perform in different wireless environments (for example, providing insights for vehicle manufacturers into how drivers use their vehicles as well as how the vehicles themselves are functioning). The data collected can then be used for optimizing the networks as well as for such functionalities as predictive mobility, where devices can connect to the best networks at any given time when roaming in order to secure service quality.