Better outcomes with recommended actions in real time
IBM® SPSS® Decision Management automates and optimizes transactional decisions before deployment to consistently maximize outcomes. It combines predictive analytics, local rules and scoring to deliver recommended actions in real time. This can help guide employees and systems to make the right business decisions every time.
IBM® SPSS® Decision Management features:
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 IBM® SPSS® predictive analytics capabilities for consistently better outcomes.
Need help leveraging the power of IBM® SPSS® software? Let us help you with our analytical expertise and experience - contact us today.