Abstract: A method and a system are provided for generating information that relates to services being utilized by a user, by which: at a user device, retrieving usage information that relates to services consumed by the user of the user device; forwarding by the user device the retrieved usage information towards a central processing unit; at the central processing unit, determining based on the received usage information and based on at least one pre-determined criterion associated with the services being consumed by the user, whether a message should be sent to that user; and if in the affirmative, sending a message to the user that relates to the received usage information, without logging any information that relates to the message being sent to the user, at the central processing unit.

Abstract: According to a broad aspect of a preferred embodiment of the invention, a network optimization method is provided. First, a set of input parameters describing a network and the users accessing it is analyzed. Input parameters may include such network-related information as network element inventory and topography, bandwidth capacity, routing information, etc. Customer-related inputs may include contact revenue, cost of service, non-performance penalties, and pattern-based customer importance profile and customer relationship management. Other inputs may include additional complex network and customer related business rules. Demands are estimated (530), graphed (530), and then the graph is pruned (580).

Abstract: A method and system for identifying outlier hyper-cells in an N-dimensional hierarchical datset having dimensions {x1,…xN} are provided.

Abstract: A method and system for identifying outlier hyper-cells in an N-dimensional hierarchical datset having dimensions {x1,…xN} are provided.