The vendor is offering named user, concurrent access pricing for the integrated platforms, as well as a quarterly subscription model designed for smaller businesses. Server pricing is per named server, so the number CPUs doesn't matter, according to EMANIO.
While one server could theoretically support an unlimited number of users, EMANIO expects most companies to add servers to manage performance based on how much data is flowing through the system and how many users are logged on at one time. The software supports clustering and load balancing.
As an example, under the named user, concurrent-access model, a 50-user installation with one administrator and 10% of those users having report-authoring capabilities would cost "in the $50,000 range," WalterPaliska, EMANIO's VP of sales and marketing, told Intelligent Enterprise Thursday.
EMANIO's reporting platform, called Context, is a browser-based BI dashboard and reporting platform that enables users to create charts, view reports, monitor dashboards and manage the application without any local software. The platform includes e-mail notification of chart updates and reports to Context and non-Context users based on event triggers orpre -defined intervals. The product supports 27 database types and hundreds of chart formatting options, and provides export options toPDF, Excel, Word and other file formats.
The predictive analytics platform, called Insight, can analyze data from a variety of sources to define trends and predict data patterns. The latest version, Insight 2.1, includes support for Oracle,SQL, ODBC and Sybase databases, as well as support for Excel 2007 and Microsoft Access 2007 formats. The faster engine in the upgrade can process a 500,000 row by 13 column spreadsheet in less than two minutes, according to the vendor.
In general, there are five popular forms of predictive analytics: response modeling, response uplift modeling, churn modeling, churn uplift modeling and risk modeling. At the Predictive Analytics World event near Arlington, Va., experts presented ways to lower cost with predictive analytics. A report on the discussion