IBM SPSS Statistics 22 is the premier suite for predictive analytics used throughout academia, businesses and organisations.
With more than a dozen integrated modules, IBM SPSS Statistics 22 covers the entire range of statistical analyses from planning and data collection to analysis, reporting and deployment. Use one of its many functions to drive revenue, conduct market research and improve decision taking.
SPSS, which stands for Statistical Package for the Social Sciences, was developed in 1968 by Norman H. Nie, C. Hadlai (Tex) Hull and Dale H. Bent in response to the need for software that could turn raw data into information essential to decision-making.
Although SPSS was first used in academic institutions throughout America, it quickly caught on amongst government and commercial markets. Some notable early SPSS users include: NASA, the National Forest Reserve, Procter & Gamble and Anheuser-Busch.
Since its inception, SSPS has remained a market leader in predictive analytics and the wider business intelligence sector by paying close attention to its customers' needs and staying abreast of relevant technological advances.
In the last four decades, SPSS has evolved into an international corporation that delivers analytical tools and solutions to several organisations across the globe. While companies and industries using SPSS vary, they all share a common desire to gather insight through the analysis of data.
The proven success of SPSS continues to demonstrate the very real benefits of using data analysis to drive the decision-making process and improve business outcomes.
Optimise your investment in predictive analytics - with one of AsiaAnalytics’ IBM SPSS product family bundles:
Modules included: IBM SPSS Statistics Base, IBM SPSS Advanced Statistics, IBM SPSS Bootstrapping, IBM SPSS Categories, IBM SPSS Complex Samples, IBM SPSS Conjoint, IBM SPSS Custom Tables, IBM SPSS Data Preparation, IBM SPSS Decision Trees, IBM SPSS Direct Marketing, IBM SPSS Exact Tests, IBM SPSS Forecasting, IBM SPSS Missing Values, IBM SPSS Neural Networks, IBM SPSS Regression, IBM SPSS Amos, and IBM SPSS SamplePower.