SPSS Decision Management

Predictive tools and mathematical techniques

• Extend the reach of predictive analytics with algorithms for binary, set and range classification.
• Apply auto clustering, auto forecasting and association rule models to solve a wide range of business problems.
• Provide an intuitive way to select appropriate modeling techniques.

Combined and integrated predictive models, rules and decision logic

• Build local rules and decision logic to help automate variable decisions.
• Provide wizards and configuration tools that auto-correct rule editing and detect rule conflicts and redundancy.
• Create the best possible environment for automation by building rules and models as needed.

“What if…” simulations

• Enable business users to run multiple simulations, compare the outcomes and promote the best-performing models.
• Provide a configurable “rules versus models” matrix to enable reviews and governance from all experts in the organization.
• Refine predictive models and decision logic before testing and deploying.

A flexible and intuitive user interface

• Develops discrete business outcomes that will serve as the basis for automated recommendations.
• Assigns risk points and other decision-enabling criteria using drop-down menus and dialog boxes.
• Provides an intuitive environment for taking a configuration from source data through to deployment.

Seamless integration with IBM Business Analytics

• Uses the strengths and the analytics of the databases on the market, including IBM Cognos® Business Intelligence, IBM DB2®, Netezza®, IBM Informix®, Microsoft SQL Server, MySQL, Oracle and Teradata.
• Provides the power and speed to solve large, real-world optimization problems with millions of constraints and variables.
• Uses high-performance predictive and text analytics to mine millions of data records.
• Creates powerful business rules-testing frameworks and source code control integration.
• IBM Analytical Decision Management for Linux on System z combines the superior performance, security and scalability of the IBM System z platform with powerful SPSS predictive analytics capabilities for consistently better outcomes.