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Telecom Business Review | Friday, June 03, 2022
Companies in the telecom industry can benefit from big data analytics by improving customer experience since helpful information is key to keeping current customers and reducing customer churn.
FREMONT, CA: Every day, massive amounts of data are collected using various techniques, but sometimes the volume is so great that it is difficult to process and analyze using conventional methods. The ever-increasing explosion of structured, unstructured, and semi-structured data in daily life is now described by the umbrella term "Big Data."
Within the telecom industry,
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The competition is intense. Competing businesses constantly search for new ways to attract customers in addition to lowering prices and offering bonuses. And this is precisely why big data is so appealing: it creates new opportunities for improved customer experience, more personalized marketing, reducing customer churn, and generating new revenue streams.
Creating a custom data solution that takes advantage of the potential of big data is an excellent way to capitalize on opportunities and maintain a competitive edge.
Telecom startups and companies can benefit from big data analytics in four main areas.
Customer experience
Big data analytics in the telecom industry can assist businesses in enhancing the customer experience, as relevant information is essential to retaining current customers and reducing customer churn. Maintaining an existing customer relationship is significantly less expensive than acquiring a new one, improving the company's long-term profitability by boosting LTV (Lifetime Value).
The processing of massive amounts of data can aid in the customization of the customer experience. A telecom company could, for instance, collect information from users regarding various service issues and then create an automated chatbot to assist customers in resolving these issues as quickly as possible.
Network enhancement
Big data can help telecom operators enhance the quality of their services by integrating network optimization. For instance, businesses can record and compile user complaints from a specific region and then look for ways to resolve them, such as by enhancing connectivity. This is another excellent strategy for reducing customer churn.
Analytics can also aid in foreseeing problems that may arise in the future, thereby preventing their occurrence by realigning network management. All because of the capacity to identify network usage patterns.
Integrating the fifth-generation mobile network with big data analytics is anticipated to substantially improve network services' quality.
Analysis of operations in real-time
Businesses can utilize big data for both analyzing and modifying operations as necessary. Using heat maps, for instance, they can monitor real-time network traffic and respond accordingly by increasing (or decreasing) the network bandwidth or cell tower range during peak hours (or off-peak hours) in a specific area or location.
Analysis can also monitor the telecom's resource usage and prevent waste, resulting in both resource and monetary savings.
The real-time operational analysis also assists in establishing the schedule for data updates and defining other parameters (such as preferred file formats) so that a company's data analysis system can be tailored to its specific business needs.
Data monetization
Big data enables businesses to collect user-related information, including demographic and location data, network and application usage, and details about used devices.
After processing, these data have a value that extends beyond the companies that collected them, making data monetization possible. Without violating users' privacy, telecom companies can sell this information to other industries, such as healthcare, finance, and advertising.
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