CRM Telecom Advantages - Global Vision Technology Blog

CRM Telecom will provide following advantages:

1) Customer Care (via phone and the company’s website)

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 CRM Telecom 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.

2) 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.

3) Marketing

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.
Historical data can also help predict customer lapses. Once the company is aware of the possibility of a customer leaving, they can take the necessary steps to prevent this and retain the customer. This saves a lot of lost revenue as well as the additional costs of attracting new customers.

The applicability of data mining techniques within the CRM telecom industry is wide and varied. From network reports to fraud detection, it can be applied across various business processes of any telecom company. Efficient data mining can help streamline core business processes to improve productivity and maintain profitability. But at the same time,CRM telecom companies must be aware of and fully implement the privacy norms involved with handling such personal data. A lapse here can have a major bearing on the brand and its reputation, not to mention financial losses. In this quickly evolving and dynamic sector, telecom operators need to concentrate on a CRM solution that utilizes data mining to gain crucial competitive advantage for progressive growth.