Telecom

Telecom Sector is emerging as a gold mine with endless opportunities to dig and make the profit. Whether it is to understand the new data pack offers or forecast the bandwidth and capacity of a network, Data Science is helping Telecom companies to make the best data sets for the right customers at right time. Telecom industry is one which not only has a large customer base but a customer base whose demands and aspirations are steadily evolving and changing. Above all, telecom companies face severe competition, making it a highly exciting industry. Data analytics can be effective in the telecom business in various forms, some of the important applications include:

  • Network Equipment failure prediction
  • Network optimization
  • Analysis of KPI’s
  • Customer Demand Identification
  • Sentiment and Social Media Analytics
  • Optimization of the network by predictive data analysis
  • Identifying network and packet drop ahead of time.
  • Customer demand identification
  • Churn prevention.
  • Sentiment analysis of customers.
  • Personalized plan forecasting.
  • Tower Inspection – Tower climbing is seen as one of the most dangerous jobs and drones can revolutionize the tower surveillance.
  • Increasing operational efficiency and workplace safety.
  • Increase monitoring accessibility to towers
    • Traditional methods (vehicle elevated cranes, etc. can fall short in some cases.
  • Enable regular asset monitoring
    • Maintenance and repair decisions can be made more efficiently.
  • Telecom network testing
    • Geographical coverage
    • Regional performance
    • Stability