Improved security enables it to run as non-root on Unix/Linux.Single sign-on between the SPSS Statistics client and SPSS Statistics Server improves ease of use.IBM SPSS Statistics Server makes working with large data faster and more scalable, and improves overall stability. Work with large data faster and increase scalability and stability.Increase the accuracy of your analysis by comparing two datasets or files in SPSS Statistics to identify any discrepancies between them.Ĭompare document metadata or perform a case-by-case comparison of selected variable valuesĪpply password protection to your data and output files to prevent others from seeing confidential information in SPSS Statistics. You can also use Java to control, react to and embed program logic into your SPSS Statistics jobs. Build predictive models that help drive better decisions and reduce risk.Ĭall SPSS Statistics functionality from a Java application and have SPSS Statistics output appear in the Java application.For example, simulate different advertising budget amounts to see how they are likely to affect total sales. Adjust the parameters you used to simulate the data and compare multiple outcomes.Use that simulated data as input to predict an outcome.Create simulated datasets based on existing data and/or known parameters when the existing data is inadequate.Get more reliable answers to your most important questions using Monte Carlo simulation techniques. Compare predicted outcomes for better decisions with Monte Carlo simulation.They're designed to help you create better predictive models, assess risk more accurately, work faster and improve analytical performance. Here's a look at some of the groundbreaking new features you'll find in SPSS Statistics 21. IBM SPSS Statistics 21 continues to increase accessibility to advanced analytics through improved tools, output, and eas-of-use features.

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