Customer Life Time Value Prediction
[wtm_use_case_cats] Customer Lifetime Value is a measure of the overall profit or revenue that can be generated by a customer throughout his relationship with the industry. Predicting the CLV of any customer is very important for every industry. Data Science solutions help the Telecom industry to provide relevant services to different segments of customers based […]
Targeted Marketing
[wtm_use_case_cats] Mass marketing is no longer effective as each customer’s requirements are unique and ever-changing. Thus, the telecom industry needs to identify prospective customers and tailor services accordingly. Based on different service usage analyses, data analytics can help understand how people react to various products and services. A detailed analysis of purchase history, service preferences, […]
Preventing Customer Churn
[wtm_use_case_cats] The real-time data insights can help improve these operations to continuously monitor and manage any drop in service performance, model network behavior, and map future demand. It helps understand customer preferences and identify issues like churn risk by accurately analyzing millions of network usage patterns and hundreds of data points Benefits for the company […]
Real-Time Analytics
[wtm_use_case_cats] Real-time streaming analytics can deal with this task. Modern streaming analytic solutions are specially tailored to continuously ingest, analyze and correlate data gained from multiple sources and generate response action in real-time mode. Real-time analytics combines the data related to customer profiles, network, location, traffic, and usage to create a 360-degree user-centric view of […]
Price Optimization
[wtm_use_case_cats] The increasing neck-to-neck competition in gaining more subscribers or users creates a substantial need for telecom companies to set optimal prices for their products and services. Data analytics helps the industry gain accurate data insights and create optimal pricing strategies to make proactive decisions by analyzing customers’ reactions to different pricing strategies, purchase history, […]
Fraud Detection
[wtm_use_case_cats] Telecommunication industry being the one attracting almost the most significant number of users every day is a vast field for fraudulent activity. The most widespread cases of fraud in the telecom area are illegal access, authorization, theft or fake profiles, cloning, behavioral fraud, etc. Fraud has a direct influence on the relationship established between […]
Predictive Analytics
[wtm_use_case_cats] The Telecom industry has to manage and maintain a large number of devices that are continuously running all the time.Knowledge of customer preferences and needs gives a better understanding of the customer. Predictive analytics uses historical data to build forecasts. The better is the quality of the data and the longer they are historically, […]
Increased Network Security
[wtm_use_case_cats] With real-time analysis of network traffic data and customer behavior, the telecom service providers can detect patterns that indicate a potential attack, identify abnormalities, discover security threats, and understand where vulnerabilities exist. Data analytics helps identify inconsistencies in networks by monitoring tons of current and historical data. It prevents unauthorized access and customer information […]
Product Optimization
[wtm_use_case_cats] Real-time data obtained from multiple resources can be used to improve the products offered by the telecom industry. Customer usage can be analyzed and this will help in coming up with new product bundles which help in saving money and identifying and serving customer needs. Benefits for the company Providing the best-suited products according […]