*An all-in-one edition for enterprise businesses with multiple advanced analytics requirements*

The IBM SPSS Statistics Premium Edition helps data analysts, planners, forecasters, survey researchers, program evaluators and database marketers – among others – to easily accomplish tasks at every phase of the analytical process. It includes a broad array of fully integrated Statistics capabilities and related products for specialized analytical tasks across the enterprise. The software will improve productivity significantly and help achieve superior results for specific projects and business goals.

The IBM SPSS Statistics Premium Edition includes the following capabilities:

**Linear models**offer a variety of regression and advanced statistical procedures designed to fit the inherent characteristics of data describing complex relationships.**Nonlinear models**provide the ability to apply more sophisticated models to data.**Geospatial analytics**enables users to integrate, explore and model location and time data.**Simulation capabilities**help analysts automatically model many possible outcomes when inputs are uncertain, improving risk analysis and decision making.**Customized tables**enable users to easily understand their data and quickly summarize results in different styles for different audiences.**Data preparation**streamlines the data preparation stage of the analytical process.**Data validity and missing values**increase the chance of receiving statistically significant results.**Categorical and numeric data**can be used to predict outcomes and reveal relationships graphically.**Decision trees**make it easier to identify groups, discover relationships between groups and predict future events.**Forecasting**features enable you to analyze historical data and predict trends faster.**Structural equation modeling**tools let you build structural equation models with more accuracy than standard multivariate statistics models using intuitive drag-and-drop functionality.**Bootstrapping**makes it simple to test the stability and reliability of models so that they produce accurate, reliable results.**Advanced sampling assessment and testing**helps make more statistically valid inferences by incorporating the sample design into survey analysis.**Direct marketing and product decision-making tools**help marketers identify the right customers easily and improve campaign results.**High-end charts and graphs**make it easy to create and share and interact with compelling visualizations results on a range of platforms and smart devices.

## SPSS Statistics Screenshots

**Landing Page**

A redesigned landing page makes it easy to find the SPSS Statistics features you need quickly.

**Style Output UI**

Use conditional formatting to highlight cell background and text within tables based on the cell value.

**Heat Map**

Monte Carlo simulation enables you to generate heat maps automatically when displaying scatterplots in which the target, the input or both are categorical.

**Kernel Density Estimation**

In this map and graph, SPSS Statistics displays the point density (Kernel Density Estimation) of the selected regions over time.

**GSAR**

As seen here, GSAR can be used to predict where crime is most likely to occur based on demographic information for the region, as shown in this map.

**Temporal causal model**

This image shows the causal connections associated with the top (best-fitting) 10 models in a temporal causal model system. A business that monitors key performance indicators (KPIs) and also tracks data on controllable metrics referred to as levers wants to determine the causal connections between the levers and the KPIs, so it can understand which levers affect which KPIs. The company also wants to know if there are causal connections between the KPIs themselves.

**Linear models**

- Statistics Premium includes generalized linear mixed models (GLMM) for use with hierarchical data.
- This software has general linear models (GLM) and mixed models procedures.
- It includes generalized linear models (GENLIN), including widely used statistical models such as linear regression for normally distributed responses, logistic models for binary data, and loglinear models for count data. GENLIN also offers many useful statistical models through its very general model formulation.
- Generalized estimating equations (GEE) procedures extend generalized linear models to accommodate correlated longitudinal data and clustered data.

**Nonlinear models**

- Multinomial logistic regression (MLR) predicts categorical outcomes with more than two categories.
- Binary logistic regression classifies data into two groups.
- Nonlinear regression (NLR) and constrained nonlinear regression (CNLR) estimate parameters of nonlinear models.
- Probit analysis evaluates the value of stimuli using a logit or probit transformation of the proportion responding.

**Simulation capabilities**

- Monte Carlo simulation enables you to create simulated datasets based on existing data and/or known parameters when the existing data is inadequate.
- Non-numeric variables such as “male” and “female” can be simulated without recoding them as numeric variables.
- Existing predictive models and data can serve as the starting point for simulations, including models exported from Automatic Linear Modeling (ALM) and IBM SPSS Modeler.
- Associations between categorical inputs are automatically determined and used when generating data for the inputs.
- Results are calculated over and over, using a different set of random values to produce distributions of possible outcome values and enabling users to select the best one.
- SPSS Statistics can be used to analyze simulation results and create visualizations that convey outcomes and recommended actions to decision-makers.

**Geospatial analytics**

- Geospatial analytics techniques in Statistics Premium help reveal relationships and trends hidden in geospatial data.
- The Spatio-Temporal Prediction (STP) technique can fit linear models for measurements taken over time at locations in 2D and 3D space, enabling users to predict how those areas may change over time.
- Associations between spatial and non-spatial attributes can be found with the Generalized Spatial Association Rule (GSAR), which uses historical data such as location, type of event and the time an event happened to describe the occurrences of events, such as crime patterns or disease outbreaks.

**Customized tables**

- Means or proportions are compared for demographic groups, customer segments, time periods or other categorical variables when including inferential statistics.
- The software creates summary statistics - from simple counts for categorical variables to measures of dispersion – and sorts categories by any summary statistic used.
- It includes three significance tests: Chi-square test of independence, comparison of column means (t test), or comparison of column proportions (z test).
- An interactive table builder provides drag and drop capabilities for creating pivot tables.
- It excludes specific categories and enables missing value cells to be displayed and subtotals to be added to tables.
- Tables can be previewed in real time and modified as they are created. They are exportable to Microsoft Word, Excel, PowerPoint or HTML for use in reports.

**Data preparation**

- Statistics Premium identifies suspicious or invalid cases, variables and data values.
- The software lets you view patterns of missing data and summarize variable distributions.
- Optimal Binning finds the best possible outcome for algorithms designed for nominal attributes.
- The Automated Data Preparation (ADP) tool detects and corrects quality errors and imputes missing values in one efficient step.
- Recommendations and visualizations help you determine which data to use.

**Data validity and missing values**

- Statistics Premium examines data from several different angles using one of six diagnostic reports, then estimates summary statistics and imputes missing values.
- The software can diagnose serious missing data imputation problems quickly.
- It lets you replace missing values with estimates.
- It displays a snapshot of each type of missing value and any extreme values for each case.
- Hidden bias is removed by replacing missing values with estimates to include all groups – even those with poor responsiveness.

**Categorical and numeric data**

- This software discovers underlying relationships through perceptual maps, bi plots and tri plots.
- It uses procedures similar to conventional regression, principal components and canonical correlation to predict outcomes and reveal relationships – helping you work with and understand nominal (e.g. salary) and ordinal (e.g. education level) data.
- Statistics Premium lets you visually interpret datasets and see how rows and columns relate in large tables of scores, counts, ratings, rankings or similarities.
- The software handles non-normal residuals in numeric data or nonlinear relationships between predictor variables (e.g. customer or product attributes) and the outcome variable (e.g. purchase/non-purchase).
- Techniques include Ridge Regression, the Lasso, the Elastic Net, variable selection and model selection for both numeric and categorical data.

**Decision trees**

- Statistics Premium visually determines how your model flows, so you can find specific subgroups and relationships.
- The software creates classification trees directly within IBM SPSS Statistics so you can use results to segment and group cases directly within the data.
- It includes four established tree-growing algorithms:
- CHAID – A fast, statistical, multi-way tree algorithm that explores data quickly and efficiently, and builds segments and profiles with respect to the desired outcome.
- Exhaustive CHAID – A modification of CHAID, which examines all possible splits for each predictor.
- Classification and regression trees (C&RT) – A complete binary tree algorithm, which partitions data and produces accurate homogeneous subsets.
- QUEST – A statistical algorithm that selects variables without bias and builds accurate binary trees quickly and efficiently.

- Selection or classification/prediction rules are generated in IBM SPSS Statistics syntax, SQL statements or simple text (through syntax).

**Forecasting**

- Statistics Premium enables you to deliver information in ways that your organization's decision-makers can understand and use.
- It automatically determines the best-fitting ARIMA or exponential smoothing model to analyze your historic data.
- The Temporal Causal Modeling (TCM) technique helps uncover hidden causal relationships among large numbers of time series, and determines the best predictors for each target series.
- Hundreds of different time series can be modeled at once, rather than one variable at a time.
- Models are saved to a central file so that forecasts can be updated when data changes, without having to re-set parameters or re-estimate models.
- Scripts can be written to update models with new data automatically.

**Structural equation modeling**

- Statistics Premium tests hypotheses and confirms relationships among observed and latent variables – moving beyond regression to gain additional insight.
- It lets you builds models that more realistically reflect complex relationships because any numeric variable, whether observed (such as non-experimental data from a survey) or latent (such as satisfaction and loyalty) can be used to predict any other numeric variable.
- The software’s visual framework compares, confirms and refines models.
- Multivariate analysis encompasses and extends standard methods – including regression, factor analysis, correlation and analysis of variance.
- This product includes three data imputation methods: regression, stochastic regression and Bayesian.

**Bootstrapping**

- Statistics Premium estimates the sampling distribution of an estimator by re-sampling with replacement from the original sample.
- It estimates the standard errors and confidence intervals of a population parameter such as the mean, median, proportion, odds ratio, correlation coefficient, regression coefficient and many others.
- The software lets you create thousands of alternate versions of your datasets for more accurate analysis.

**Advanced sampling assessment and testing**

- Statistics Premium provides the specialized planning tools and statistics needed to work with complex sample designs, such as stratified, clustered or multistage sampling.
- It helps you achieve better results because it incorporates the sample design into survey analysis.
- Users can more accurately work with numerical and categorical outcomes in complex sample designs using algorithms for analysis and prediction, including predicting time to an event.
- Wizards make it easy to create plans, analyze data and interpret results.

**Direct marketing and product decision-making tools**

- Statistics Premium segments customers or contacts by creating clusters of those who are like each other, and distinctly different from others.
- The software profiles customers or contacts with shared characteristics to improve the targeting of marketing offers and campaigns.
- It develops propensity scores to identify those who are most likely to purchase.
- Test package performance can be compared to control packages.
- Responses to campaigns are identified by postal code.
- Campaign response data integrates with Salesforce.com to track leads and report on sales pipeline.

**High-end charts and graphs**

- Statistics Premium has dozens of built-in visualization templates to communicate analytic results.
- "Drag-and-drop" graph creation eliminates the need for programming skills.
- Style sheets and graph templates can be customized to set new graphic standards across your enterprise or match branding.
- Graphs are deployed in operational systems using IBM SPSS Collaboration and Deployment Services, IBM SPSS Statistics and IBM SPSS Modeler.
- The software supports a wide array of data sources, including delimiter-separated, IBM SPSS Statistics data files and common database sources such as DB2, SQL Server, Oracle and Sybase.

### SPSS Statistics Premium resources

- Trial software: IBM SPSS Statistics Desktop
Identify your best customers, forecast future trends, and perform advanced analysis.

- Data sheet: IBM SPSS Statistics Editions (636KB)
IBM SPSS Statistics comes in three editions to meet your analysis requirements. Find the edition that's best for you.

Make decisions anytime, anywhere and improve model accuracy

IBM SPSS Statistics Premium enables users to view analytical results on their smart devices for data-driven decision making wherever they happen to be. The latest release also provides additional simulation modeling techniques to improve modeling and risk analysis, and numerous enhancements to strengthen overall performance. SPSS Statistics Premium now offers:

**Easily consumable analytical output**—view and interact with SPSS Statistics output on multiple types of smart devices and platforms and create presentation-ready reports.**More powerful simulation modeling**—improve model accuracy with enhanced Monte Carlo simulation, which includes new features such as heat maps, automatic linear modeling and simulating strings.**Specialized techniques to improve overall performance**—obtain more accurate results faster and increase productivity and effectiveness.

## Learn more

## Easily consumable analytical output

- View interactive SPSS Statistics output on smartphones and tablets, including iPhone, iPad, iPod, Android and Windows 8 devices.
- Export SPSS Statistics output as .mht (Cognos Active Report) files, which can be opened using the IBM Cognos Mobile app (available on iPad only).
- Produce presentation or publication-ready output that is easy for audiences to understand.
- Select and modify objects within a table.
- Apply colors to columns or rows (including gradation across rows/columns) to emphasize key findings.
- Change the color, font, size, background color and other table text attributes.
- Use conditional styling to highlight selected cell(s) based on the value or significance values of tests.
- Index, hide, show or delete table objects.
- Apply a Table Look to a table.

## More powerful simulation modeling

- Fit a categorical distribution to a string field in the active dataset, enabling non-numeric variables to be used in simulations.
- Export a model from Automatic Linear Modeling (ALM) and use it as the starting point for a simulation.
- Generate heat maps automatically when displaying scatterplots in which the target, the input or both are categorical.
- Automatically determine associations between categorical inputs and use them when generating data for the inputs. A multiway contingency table can be computed for all inputs that are fit to a categorical distribution and used when generating data for the inputs.
- Generate data in the absence of a predictive model by specifying which variables to simulate and either fitting them to the active dataset or manually specifying their distributions.

## Specialized techniques to improve overall performance

- A new startup screen makes it easier to find features.
- Asynchronous reading of data gets data to the procedures faster.
- Import/export data from/to database more easily.
- ODBC pooling provides more reliable database connections.
- Perform custom programming more easily with simplified installation of extensions within SPSS Statistics.
- Logging support is improved for Enterprise Standard in the Platform Standards.
- Other applications can read/write encrypted SPSS Statistics data files with i/o dll.
- Use a simplified method to specify user-defined estimands in IBM SPSS Amos.

**Upgrade to the latest version of SPSS Statistics Premium**

Use your IBM Software Subscription and Support benefits to upgrade to the new SPSS Statistics release today. Learn more about IBM Software Subscription and Support benefits.

**IBM SPSS Statistics for Linux on System z**

Get IBM® SPSS® Statistics for Linux on System z to access, manage and analyze high volumes of data. This version combines the advanced analytical power of SPSS Statistics with the security, availability and stability of the System z platform, enabling your organization to make accurate decisions faster and deploy them throughout the enterprise.

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