Oracle has updated its data analytics solution.
As their customers demand a deluge of new services, communications service providers need instant data analytics that enable them to act quickly to meet technological, regulatory and business challenges. Oracle Communications Data Model 11.2.5 is designed to enable CSPs to analyze multiple data types – including revenue, customer, network fault and performance, provisioning and service activation data.
Oracle Communications Data Model is a standards-based, pre-built data warehouse with a comprehensive database schema. The company says the solution maintains sophisticated trending and data mining capabilities, as well as a wide array of dashboards, all focused specifically on communications industry business challenges. The product provides CSPs with customer network-usage behavior, average revenue per user (ARPU), order fallout rates, dropped call rates, and marketing campaign effectiveness – to mitigate customer churn and deliver highly targeted offers.
Improvements to Oracle Communications Data Model in this version include: support for all forms of call detail records (CDRs) – including raw, mediated, rated and billed CDRs, as well as event detail records (EDRs) and Internet protocol detail records (IPDRs) – to enable CSPs to better understand potential processing issues that can lead to revenue leakage; an increase to more than 1,500 tables and 30,000 columns; new order-management reports and supporting analytics for Oracle’s Rapid Offer Design and Order Delivery solution; and support for Oracle Business Intelligence Enterprise Edition 11.1.1.5, which can generate reports on mobile devices such as the iPhone and the iPad.
“Today, CSPs are often frustrated in their efforts to apply analytics due to the difficulty of obtaining data from multiple sources and fitting it into usable models," said Larry Goldman, partner, head of telecoms software research, Analysys Mason. "With this release, Oracle is providing an adapter product that bridges the gap between its charging system and its analytic platform."
