Another vertical that we see data warehouse adoption is telecommunications.

There has been explosive growth in telecommunications applications over the last two decades, and service providers are using data as one of the main ways to win and keep customers. Telecommunications companies spend hundreds of millions of dollars each year
collecting, testing, measuring and acquiring use data. The analysis of the data determines how to acquire new customers, reduce churn, and effectively compete. But the amount of data is simply staggering. Call center analysis, Call data records (CDR), customer billing data, as well as statistical data from the network, and alarms, alerts and event management…

Not only to telcos face increasing challenges managing explosive growth in the volumes of data, but also on the analytics required. The vast cross-section of telco applications means widely differing requirements for data access and queries. While some applications
require little to no querying (ie, archive compliance), others require access to large amounts of data to perform highly complex, ad hoc queries (ie, call agent optimization, targeted user services).

The problems of storing the vast volume of data (and the costs involved of keeping it all together) and ensuring that analysts and internal systems have timely access to the data typically results in multiple development projects, creating silos of data - which is untenable over time.

Again, this is a good fit for ICE where the compression and metadata querying allows for all the data to be stored in one warehouse, and gives good performance on unpredicted new queries.

Additional reading:
http://www.dmreview.com/issues/19981201/260-1.html