SPSS, the provider of predictive analytics software, has launched the latest version of its statistics software suite that is expected to help commercial, government and academic organisations to solve business and research problems.

Part of the SPSS Predictive Analytics Software (PASW) portfolio of products, the new offering – PASW Statistics 18 – is said to combine enhanced capabilities to support the analytic process – preparing data, running analysis, creating and delivering reports. The new version includes features that reportedly automate time-consuming operations, new analysis and reporting capabilities, and allow users to create their own analytical functionality using open source – R and Python – programming languages.

Jason Verlen, chief product strategist of SPSS, said: “PASW Statistics 18 delivers incredibly robust functionality that increases the usability of advanced analytics for all audiences, enabling business users, analysts and statistical programmers to collaborate on a single platform. We are also excited to deliver more flexibility, greater choice and customisation with PASW Statistics by welcoming open source users into our Predictive Analytics framework.”

The company said that the automation and analysis features in the new version allow users to prepare and conduct analysis and access functionality for more finite control, when needed. Its PASW direct marketing feature allows marketing professionals to perform analyses to plan and carry out marketing campaigns. Automated data preparation feature simplifies processes by detecting and correcting quality errors and imputing missing values.

According to the company, the new version also includes: PASW Bootstrapping that creates estimates for predictive models to ensure reliable results; nonparametric testing which allows users to make multiple comparisons within non-normal data; and interactive model viewer that provides visualisation of data and models, allowing users to compare results and determine the algorithm for a particular data set.