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Big data promotes growth and increases profitability across telecom by optimizing the quality of service. It analyzes the network traffic, analyzes the call data in real‐time to detect any fraudulent behavior, allows call center representatives to modify subscribers plan immediately on request, utilizes the insight gained by analyzing the customer behavior and usage to evolve new plans and services to increase profitability, that is, provide personalized service based on consumer interest.

Telecom operators could analyze the customer preferences and behaviors to enable the recommendation engine to match plans to their price preferences and offer better add‐ons. Operators lower the costs to retain the existing customers and identify cross‐selling opportunities to improve or maintain the average revenue per customer and reduce churn. Big data analytics can further be used to improve the customer care services. Automated procedures can be imposed based on the understanding of customers’ repetitive calls to solve specific issues to provide faster resolution. Delivering better customer service compared to its competitors can be a key strategy in attracting customers to their brand. Big data technology optimizes business strategy by setting new business models and higher business targets. Analyzing the sales history of products and services that previously existed allows the operators to predict the outcome or revenue of new services or products to be launched.

Network performance, the operator’s major concern, can be improved with big data analytics by identifying the underlying issue and performing real‐time troubleshooting to fix the issue. Marketing and sales, the major domain of telecom, utilize big data technology to analyze and improve the marketing strategy and increase the sales to increase revenue.