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Telecom – Know your customer and know yourself PDF Print E-mail

Data Mining applied to customer data can identify call patterns, customer retention, and (silent) churn patterns. By using this and customer feedback, one can invent new services and discover inadequate customer services or competitive rate plans. Also, existent network data – Usage Detail Records - can be mined and the results point out areas of network congestion; corrective measures can be accomplished to overcome this.

Another objective where Data Mining can help you is reducing the call dropping probability and the call blocking probability and to maximize the bandwidth utilization. Mining the previous movements of the mobile users, generates local and global profiles, which are utilized effectively in prediction of the future path of the mobile user. This scheme is based on high level of prediction of the next base stations for the mobile user.

CRM in Telecom Industry

  • Communication with the customers regarding their established accounts and service feature activation
  • Customers inquiries handling to adjust accounts for disputes (accounts management), technical support
  • Selling additional products and services to the customer (post sales support), and collection services
 

Other problems that can be solved

By mining customer data and Usage Detail Records, one can also solve the following problems:

  • How can you retain customers and keep them loyal when competitors offer special offers and reduced rates?
  • Which customers are most likely to churn?
  • What characteristics make a customer likely to be profitable or unprofitable?
  • How does one predict whether customers will buy additional products like cellular service, call waiting, or basic services?
  • What are the factors that influence customers to call more at certain times?
  • What characteristics indicate high-risk investments, such as investing in new fiber-optic lines?
  • What products and services yield the highest amount of profit?
  • What characteristics differentiate our products from those of our competitors?
  • What set of characteristics indicates companies or customers who will increase their line usage?
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