The announcements were made at the California-based firm’s annual conference in San Diego.
It claims its Siebel Enterprise Analytic Platform 7.7 and Siebel Customer Analytic Applications 7.7 will bring analytic capabilities to a wider, non-technical audience.
Siebel is positioning its Analytics Platform as a next generation platform to deliver BI information based on a user’s role, and as accessible via a corporate intranet, a Web-based client, or in disconnected mode.
The system supports analytic alerts on handhelds and mobile phones and offers full synchronization capabilities. The software will expand the integration capabilities of Siebel’s Analytic Server, by bringing together multiple customers data sources and analyze it using predictive analytics.
Siebel is releasing over 20 vertical solution templates as part of the Customer Analytic Applications, which offer guided analytics based on best practices gleaned from industry leaders.
As part of a new global alliance with IBM Corp [IBM], both companies will collaborate to develop further vertical industry solutions for the retail banking, insurance, and consumer packaged goods (CPG) sectors. The alliance has already resulted in platform integration with the AIX operating system, clustering, optimization with DB2, and WebSphere support.
Siebel’s latest BI moves are being interpreted by many as a shift from customer analytics to a broader, enterprise analytics approach. Traditionally Siebel has pointed its analytics strategy (which can be traced back to its acquisition of nQuire Software Inc back in October 2001) at its core CRM application suite. But it has steadily evolved the architecture to support analytic applications that are on a par with those developed by rivals SAP AG and Oracle Corp as well as some specialist BI vendors.
Siebel Customer Analytic Applications 7.7 is available now for on-premises deployments. The application can also be accessed through Siebel’s recently announced On Demand hosted CRM solutions, although there are some limitations attached.
This article was based on material originally published by ComputerWire.
