Mobile companies today offer diversity of user subscription services to their subscribers in order to attract their attention. In order subscribers effectively to use that service they have to choose appropriate subscription service package. Choosing the appropriate subscription service is not always simple decision, using the knowledge discovery process can help customers to make the right choice. We suggest applying different data mining techniques to already aggregated user traffic from different types of services, stored in the data warehouse system. With the extraction of the useful information we can provide offers to subscribers that will be optimal with their used services (voice, SMS, MMS and Internet). Personalization of the user subscription services will contribute to more objective and transparent process of billing the subscribers.
Personalized mobile services, data mining, mobile subscribers, Business Intelligence.