IBM SPSS Statistics

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IBM SPSS Statistics 2017-03-22T18:38:51+00:00

IBM SPSS Statistics is an integrated family of products that addresses the entire analytical process, from planning to data collection to analysis, reporting and deployment.

With more than a dozen fully integrated modules to choose from, you can find the specialized capabilities you need to increase revenue, outperform competitors, conduct research and make better decisions.

IBM SPSS Statistics Features

SPSS Statistics is loaded with powerful analytic techniques and time-saving capabilities to help you quickly and easily find new insights in your data.

Here’s a look at the newest features and enhancements designed to help you:

Discover causal relationships in time series data

Uncover hidden causal relationships among large numbers of time series using the Temporal Causal Modeling (TCM) technique. SPSS Statistics enables you to feed many time series into TCM to find out which series are causally related, and can automatically determine the best predictors for each target series.

Integrate, explore and model location and time data

SPSS Statistics includes geospatial analytics capabilities to help you explore the relationship between data elements that are tied to a geographic location.

Choose from a wider range of R programming options

Develop and test R programs using a full-featured, integrated R development environment within SPSS Statistics. You can also write R functions that use SPSS Statistics functionality with command syntax from within R, and return results to R.

Enhance categorical analysis outcomes

Use a wider range of categorical principal component analysis (CATPCA) capabilities, including:

Create next generation web output

SPSS Statistics web reports have been completely redesigned, with more interactivity and functionality and web server support.

Bulk load data for faster performance

SPSS Statistics writes the data to a text data file, and then the bulk loader script writes the text data back to the database, providing superior performance when handling large datasets.

In addition, SPSS Statistics:

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