As the market edges closer and closer to 5G, there are some exciting opportunities that are emerging for operators. With more and more is made in the areas of capacity, security, quality of service, and integration among networks, there will be a corresponding increase in the number of business cases. Ideally, some of these business cases will reach their full potential when 5G becomes available.
Big data offers a wide range of opportunities for service providers throughout the coming decade. As time progresses, improved engines will emerge to help providers harness an ever-increasing volume of information.
Fortunately, there are many new technological capabilities that are being built into public networks that support the collection of information. For instance, while context awareness and M2M connectivity improve user experience, these technologies generate large amounts of data relating to the behaviors, habits, and preferences of consumers. The same technology also captures the behaviors, habits, and preferences of businesses. And, it does the same for “things,” such as cars and other devices equipped with wireless technology.
Then there is the growth of proximity technologies. Wi-Fi direct and Wi-Fi Aware gives operators the powerful ability to track users via their mobile devices and an increasing number of other devices.
Again, these technologies greatly enhance user experience while funneling detailed information about uses to providers and other interested parties such as retail stores. Stores are able to target advertising in a way that increases response rates and customer satisfaction. The data that stores collect can also be processed by third-party software to give them greater insight into the behaviors, habits, and preferences of their customers.
As the ability to process big data analytics improves, it will become increasingly clear that the full potential of big data can’t be realized without the creation of a secure and robust carrier-grade Wi-Fi platform. Such a platform will support the integration of data into back-office databases and applications that help analysts make sense out of mountains of data.