SPSS

IBM SPSS Statistics is a comprehensive, easy-to-use set of predictive analytic tools for business users, analysts and statistical programmers, helping organizations with a wide variety of predictive and statistical analysis:

• Identify which customers are likely to respond to specific promotional offers
• Boost profits and reduce costs by targeting only the most valuable customers
• Forecast future trends to better plan organizational strategies, logistics, and manufacturing processes
• Detect fraud and minimize business risk
• Analyze either/or outcomes, such as patient survival rates or good/bad credit risks
• Understand which characteristics consumers relate most closely to their brand
• Identify groups, discover relationships between groups, and predict future events

Analytical Features include:

• Regularization methods including Ridge regression, Lasso and Elastic Net, that improve predictive models by reducing coefficient variability
• Multithreaded algorithms including SORT, correlation, partial correlation linear regression, multinomial linear regression, factor analysis
• Nearest Neighbor analysis for prediction or classification
• Non-linear data modeling procedures to discover more complex relationships in your data.
• Cox Regression that enables survival analysis for samples drawn by complex sampling methods
• Nonparametric testing procedures
• Direct marketing functionality that allows business users to run their own analyses
• Bootstrapping capabilities that improve the stability of models
• Multithreaded procedures that improve performance and scalability

IBM SPSS Modeler (formerly known as Clementine) is a powerful, versatile data and text analytics workbench that helps you build accurate predictive models quickly and intuitively, without programming.  One can discover patterns and trends in structured or unstructured data more easily, using a unique visual interface supported by advanced analytics. Model outcomes and understand what factors influence them so you can take advantage of opportunities and mitigate risks.

• Easily visualise the data mining process, using IBM SPSS Modeler's intuitive graphical interface. From this interface, you can easily access both structured (numbers and dates) and unstructured (text) from a variety of sources, such as operational databases, survey data, files, and your IBM Cognos 8 Business Intelligence framework, and use modelling to improve business outcomes in areas as diverse as customer relationship management, marketing, resource planning, fraud and risk mitigation, medical research, law enforcement and national security.
• Produce deeper insight and more accurate predictions by utilising all of your data assets to create a complete view of your customers or constituents. IBM SPSS Modeler integrates with IBM Cognos 8 Business Intelligence software, as well as with a wide range of databases, spreadsheets and flat files – including IBM SPSS Statistics, SAS and Microsoft Excel files – and on a wide range of platforms.
• Choose from a complete range of advanced analytical functions, including state-of-the-art algorithms, automated data preparation and rich, interactive visualisation capabilities.
• Deploy models, predictions and insight to decision makers and operational systems, including call centre staff, customer-facing staff and websites.
• Access all of IBM SPSS Modeler's predictive capabilities, as well as IBM SPSS Statistics' data transformation, hypothesis testing and reporting capabilities, from a single interface.
• Integration with Cognos and InfoSphere Warehouse helps you realise more value from your investment in information systems because you can use your wealth of data not only to understand the current state of your business better but also to get a view into the future through predictive analytics.