In today’s fast paced communications scenario, a large number of Mobile Network Operators (MNOs) are collecting large amounts of data from their network but the use of the data collected is what really counts. MNOs main use of collecting subscriber and network data is to be able to produce valuable insights on customer experience customer behavior and network performance.
But there is so much more operators can do to make accurate business decisions that generate more revenue, fight competition, and build on customer quality of experience (QoE). ABI Research analyst, Sabir Rafiq comments, “MNOs and Communication Service Providers (CSPs) are actively looking into Big Data and Analytical solutions. They need tools that can impact their businesses and find new ways to reduce costs, improve efficiency of the networks, increase and generate new revenue streams, and increase QoE.”
Rafiq continues, “Big Data Analytics are no longer the exclusive province of IT Software, as leading telecom vendors such as Astellia, Ericsson, Nokia Solutions and Networks, and Huawei have stepped up. Software vendors, including Citrix and Guavus, offer big data and analytical solutions to help telecoms collect and analyze data effectively.”
Key aspects of a successful mobile big data analytics offering include the ability to easily identify the key data sets, hook them efficiently and retain relevancy. The most successful implementations will start with a clear understanding of the project goals and will be tailored to individual needs. It is imperative that Telcos and Telecom providers understand that it is not one-size-fits-all but they take a more customer-defined and results-driven approach.
The vendors mentioned are only a few of the many who are offering big data solutions that can help MNOs and CSPs to generate real-time actionable insights using the data that they are collecting to drive business value.
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