CRM Telecom Data Mining - Global Vision Technology Blog

Data mining for CRM in Telecom will provide following advantages:

Data mining can be used to create effective IVR menus and interactive websites. For example, clients often tend to have similar and repetitive queries. Data mining can help identify these so that vendors can build their customer care to answer these in the quickest and easiest ways.
Data mining equips customer care agents with the right information to handle queries and resolve issues with speed and accuracy. It is this tool which ensures that agents have client information such as billing history, usage, services availed and more, at the click of a button.

Sales Management

Data mining can help optimize sales channels by shortening sales cycles, identifying opportunities and aiding closure of deals.
Sales teams can be provided with valuable customer information to take them through the entire procedure of turning a prospect to a client.
Identification of sales opportunities is facilitated through an understanding of market trends, customer needs, competition and responses from different media channels, all brought about by applying data mining techniques.
Managers can also predict sales volumes by foreseeing demand and creating provisions for the same.
Complete records of all customer usage and interactions aids holistic management of the entire sales process.
Lastly, historical information can provide crucial customer insight to aid cross-selling and up-selling of products and services.

Consumer profiles created through data mining can be used to plan highly targeted marketing campaigns. One of the most popular applications for data mining is in creating successful promotions. Special promotions such as calling circles, reduced rates to certain numbers or at certain times of the day, data and talk time packages and much more are especially created to attract prospective customers as well as increase loyalty and usage of current customers.
Customer call records can help classify the customer base into categories such as business, students, residential and much more. Each of these groups can then be targeted with different and specific marketing techniques.

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