Exploring the 4 top telecom analytics use cases

Data analytics is transforming the telecommunications industry by enabling companies to convert extensive volumes of network, customer, and operational data into actionable insights that enhance service quality and efficiency. Telecom providers utilize big data analytics to optimize network performance, design targeted marketing campaigns, and make informed decisions in a competitive market by analyzing call records, network logs, and other data sources. The analytics process is categorized into descriptive, diagnostic, predictive, prescriptive, and advanced analytics, each serving distinct purposes such as historical trend analysis, root cause identification, future event forecasting, action guidance, and complex data interpretation. Practical applications include using geospatial data for coverage mapping, network planning, and capacity optimization, which aid in prioritizing expansions and addressing underserved areas. Furthermore, analytics enhances user experience, predicts customer churn, targets marketing efforts, optimizes pricing, and aids in developing new products, while real-time analytics and key performance indicators (KPIs) help manage traffic and monitor performance metrics like network uptime and customer churn rates. Tools like Felt facilitate the visualization and dissemination of data insights, empowering telecom teams to make swift and informed decisions.