Abstract: A method and system predict customers/accounts that are likely to become attrited based on predefined classification rules and customer data/account information associated with the customers/accounts. The classification rules are generated by parsing through historical customer data/account information to identify attrition customers/accounts and their associated attributes. Unique algorithm is used to determine attrition statuses of the customers or accounts. After the classification rules are generated, the rules are applied to new customer data or account information to predict customers or accounts that are likely to become attrited.

Abstract: An advanced rating method and system for identifying desirable customers. A prediction index is calculated for each customer to predict a trend of profit that the customer may generate. The prediction index is calculated based on various types of customer data including at least two types of customer data selected from the following: assets levels of the customer, demographic information of the customer, and transaction history of the customer. A score for each selected type of customer data is determined. Proper weights corresponding to each type of customer data are also obtained. The prediction index is then calculated based on the respective weights and scores corresponding to the selected types of customer data using an advanced algorithm. The prediction index is compared with a preset threshold to determine whether the customer is desirable.

Abstract: An activity-driven, profitability calculation method and system track expenses and/or income associated with each activity initiated by customers or accounts. The method detects and identifies activities associated with an account, and obtains rate information associated with the identified activities. The rate information specifies any expenses or incomes associated with the identified activities. A profitability status related to the account, such as an amount of profits or loss, is updated based on the rate information associated with the identified activities. The determined profitability status of the account or customer may be used to determine a service type or level that would be received by the account or customer.

Abstract: A method and system predict future revenue of an account or a customer associated therewith for a specific time period, such a month, a quarter, etc., based on past revenue. The technique uses historical revenue data of a predetermined number of time periods before the specific time period, to calculate the prediction revenue for the specific time period. Different weights are assigned to the revenue data of each of the predetermined number of time periods, wherein the weight is selected based on the recentness of each of the predetermined number of time periods relative to the specific time period. For instance, the revenue of a month closer to a month to be predicted is given more weight than older months. The weight for each time periods may be determined empirically, such as by regression. Prediction revenue of the specific time period is determined based on the historical revenue data and the weight of each of the predetermined number of time periods.