Our customer for this chapter is a telecommunications carrier, with millions of subscribers, and multiple interconnections to other networks and carriers to provide worldwide access for its subscribers. They handle millions of calls each day on their network. One of the challenges they constantly face is understanding their customer's calling patterns so that they can plan and optimize their network capacity. They analyze network usage based on time of day and the origin and termination locations of each call. The marketing group also reviews how the various calling plans they offer are being used.
Many of the business problems our customer is experiencing would benefit from the kinds of BI capabilities that you have seen in previous chapters, but there is one huge technical problem that first needs to be overcomethe volume of data in a utility company's data warehouse can be staggering. The client has reduced the volume of data by loading filtered and summarized data into relational data mart databases for specific business applications. The business still finds itself constrained in many ways: