The revenues in the telecom industry have been slowing down due to high infrastructural cost and decreased consumer spending. There was a time when telecom companies would amass a tidy profit as consumers spend a hefty amount on calls, messages, and data. Now, however, the usage is mostly restricted to data, and the cost of data has fallen significantly hurting the profits of telecom companies. Companies in the telecom industry are trying hard to increase this revenue stream by conducting customer churn analysis, providing custom offers, and packages. However, in hindsight, another way to increase the profits is to focus on the cost side of the equation. By improving the operational efficiency of telecom operators, they can reduce the overall cost base and provide improved network quality which will help improve customer experience. Telecom service providers are looking to achieve operational efficiency by using big data analytics. So how exactly do they solve this problem?
Benefits of Big Data Analytics in Increasing Operational Efficiency in the Telecom Industry
One of the most notable phenomena in the telecom industry is the usage of a cell network being distributed unevenly throughout the data. For instance, in peak hours, almost every user in the network is trying to access the services, whereas during the night only a fraction of that population would use telecom services. Consequently, it also affects how much power each cell on the whole network would be consuming. Big data analytics can smartly solve this problem by automating how cells interact with each other, adjust their power to minimize interference, and ensuring maximum coverage and bandwidth. This way they can optimally handover traffic between cells and load balance traffic based upon traffic patterns.
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Intelligent Network Planning
Network planning is a process through which telecom service providers meet the need of the subscriber and operator by encompassing network-synthesis, topological design, and network-realization. In short, it is all about allocating resources such as IT, networks, operations, and maintenance sufficiently based on network load forecast. Inefficient designs can cause serious bottlenecks in the network performance, which is why network operators are looking at network planning solutions that are embedded with advanced analytics that can correlate information from multiple network datasets and CRM systems. By working closely with their operations support systems such as network inventory solutions, network discovery information, and service activation solutions players in the telecom industry can efficiently implement intelligent network planning.
Proactive Customer Care
Network operators can face a host of issues causing network downtime now and then. Such downtime can create negative customer experiences, which is why players in the telecom industry are being proactive in solving such issues by collecting lots and lots of data. Such data comprise of issue-resolution data and error fixes, which can guide operators to predict the instances of network breakdown. With the help of big data, operators can gain real-time contextual intelligence updates that effectively maintains an up-to-date context map of each consumer. Such intelligence enables operators to provide top-class customer experience by continuously monitoring subscriber activities to identify and rectify network issues.