Allows organisations to integrate S+ or R statistical scripts and models into an interactive interface
Tibco Software has launched a new version of in-memory analytics platform Spotfire 3.1, which the company says will make predictive analytics accessible within Spotfire’s visual user experience.
The company claims that the new software responds faster than BI and more flexibly than spreadsheets, allowing users to analyse data, customise discovery experience and share their story through mashups, portals or interactive dashboards.
The new version allows users to have more tools to explore, interact with, and present their data, while providing flexibility and speed to analyse their data. Inclusion of conditional colouring and lasso and axis marking in Spotfire 3.1 allows for better data analysis of patterns, clusters and correlations among sets of variables, Tibco said.
The platform features multiple scale bar charts and combination bar and line plots for analysis of unstructured, free-dimensional data to identify key outliers and trends amongst the data.
According to Tibco, Spotfire 3.1 allows organisations to integrate S+ or R statistical scripts and models into an interactive interface, through the new Tibco Spotfire Statistics Services layer that allows for the central deployment and execution of both S+ and R-based models.
In addition, the new version also allows users to bring the power of R language to Spotfire platform to perform advanced what-if analysis and analytics, which opens up access to an array of freely-available statistical methods.
Spotfire 3.1 in tandem with Tibco Spotfire Application Data Services enables users to analyse data from various enterprise data sources including SAP NetWeaver BI, SAP ERP, Salesforce.com, Siebel eBusiness Applications, and Oracle E-Business Suite.
Lars Bauerle, vice president product strategy for Spotfire at Tibco Software, said: Spotfire 3.1 brings easy-to-create – yet exceptionally powerful analytic applications to the enterprise – uniquely filling the ‘analysis gap’ that has forced business and technical professionals to resort to spreadsheets for their analytic needs.