IBM SPSS product catalogDecisions—better outcomes through predictive analytics

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Follow the path to improved outcomes through predictive analytics CAPTURE information, PREDICT outcomes and ACT on insights

To get the answers you need for successful decision making, it’s important to follow all the steps in the data analysis process— and using the right data analysis tools along the way can help you arrive at those decisions faster and more accurately. The process starts with planning. Beginning with the end result in mind, the first steps are to set objectives, identify data sources and carefully craft the process. The next step is data access, where data is brought in from available sources, using open database connectivity (ODBC) or direct file input. After that comes data management and data preparation, during which data is reviewed for suspicious, invalid or missing cases; variables; and data values. In the next step, data analysis, the data is examined, tested, explored and transformed. Patterns are identified, hypotheses are tested and information is extracted. Next comes reporting, where data is summarized, put in tables and charts, and made ready for consumption.

The last step is deployment. Data, reports and procedures are distributed to users globally, with interaction and access managed centrally. At this point, the process starts all over again to make sure you maintain your competitive advantage. When your organization follows this analytical path, you can benefit in a number of ways. You can gain a better understanding of your current situation, consider the most appropriate options, predict what is likely to happen next and take actions to improve outcomes. Potential benefits to your business include the ability to acquire, grow and retain customers; reduce costs; minimize risk and fraud; and improve efficiency. IBM® SPSS® predictive analytics products are offered in an easy-to-integrate, open technology platform. So take a look at how you can turn your organization’s data into a strategic asset that can give your business a competitive advantage.

Introducing IBM SPSS Statistics Subscription

IBM is providing businesses with more self-service analytics options that allow for advanced statistical capabilities and faster decision making. IBM SPSS Statistics Subscription delivers the power of SPSS Statistics predictive analytics capabilities with a flexible subscription payment option, including an easier purchasing, management and licensing experience. With the introduction of SPSS Statistics Subscription, organizations, groups and individuals can take advantage of predictive analytics capabilities to deliver the maximum amount of value to the user. The simplicity of SPSS Statistics resonates throughout the customer experience—making it easier to do everything from downloading to updating your software.

SPSS Subscription Base Base Edition provides a wide variety of analytics capabilities. Access descriptive statistics, linear regression, and presentation quality graphing and reporting. You can access multiple data formats without any size constraints. Advanced data preparation capabilities enable you to eliminate labor-intensive manual checks. You can leverage bivariate statistics procedures, factor and cluster analysis, as well as bootstrapping. Additionally, you can extend your capabilities with R and Python.

Custom Tables and Advanced Statistics Add-on The Custom Tables and Advanced Statistics Add-on provides easy-to-use drag-and-drop interactive tables exportable to Microsoft and PDF formats. You can access a variety of additional techniques, such as: non-linear, logistic, 2-stage least squares regression, generalized linear modeling and survival analysis.

Complex Sampling and Testing Add-on The Complex Sampling and Testing Add-on provides functionality for small sample sizes, missing data and complex sampling. You can access regression with optimal scaling, including lasso and elastic net. Additional features include: categorical principal components analysis, multidimensional scaling and unfolding, and multiple correspondence analysis.

Forecasting and Decision Trees Add-on The Forecasting and Decision Trees Add-on provides ARIMA and exponential smoothing forecasting capabilities. Classification and decision trees based on four established tree-growing algorithms are also available. You can also create neural network predictive models as well as RFM analysis to test marketing campaigns.

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