User and IoT Data Analytics
Embedded subscriber database analytics help operators improve internal efficiency and monetize data assets, while exploring new cross-vertical Internet of Things (IoT) applications.
When everything gets connected
Internet of Things (IoT) is quickly emerging as a very significant agent of transformation as it blends the physical and digital worlds. In the latest Ericsson Mobility Report, 28 billion connected devices are forecasted by the year 2021. For service providers, this represents an opportunity for increased revenues.
There are two different segments of IoT connected devices; consumer and industry. Connections to service providers’ networks will be made by using both cellular accesses with SIM card based devices and non-3GPP/cellular accesses (e.g. Wi-Fi) with SIM card-less based devices. This means that a device agnostic solution is required to authenticate and authorize access to the network and its services, as well as to manage all subscriptions efficiently. The resulting subscriber data asset, could – with the proper tools - be monetized by service providers.
Extracting value from data requires a simple, flexible and agile solution
User and IoT Data Analytics is part of Ericsson’s user data management solution, which allows consolidation of all the data from consumers as well as industry IoT devices in a subscriber data management system. The data management embedded analytics allows service providers to utilize their powerful data asset to improve internal efficiency, while exploring new cross-vertical IoT applications.
With User and IoT Data Analytics, service providers can perform real-time analytics on the data stored in subscriber data management system. It can also fetch data from other network databases, Ericsson or non-Ericsson, and aggregate them in the analysis. Thanks to secure exposure capabilities, cross-industry customer and IoT insights and applications are made possible.
Leveraging on the insights from data, service providers can improve their operational efficiency. Some significant examples in this area are IoT cross database consistency, roaming analytics and plan-to-provisioning. Consumers can have an enhanced service experience with, for example, a device management portal and remote control of devices. And the IoT industry verticals will benefit both from efficient management of devices as well as from new business opportunities such as enhanced key performance indicators monitoring and better target offerings based on customer insights.
Building on the vast experience from Ericsson in handling billions of user and IoT devices in its subscriber data management systems, User and IoT Data Analytics is designed to provide real time data analytics with simplicity and efficiency.