IBM SPSS Decision Management

Combine predictive analytics and business rules to optimize and automate the millions of small decisions made every day. Increase the positive outcomes of good decisions, and minimize the negative impact of bad decisions.

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Three Clicks to Smarter Decision-Making

With three simple clicks, business users can build a predictive model within a configurable Web browser interface, and run simulations and "what if" scenarios that compare and test the best business outcomes – before deploying the model into an operational system.

This ensures that the right decisions are made – every time – at the appropriate point of customer interaction.

One way to describe this is to say that an organization or project team observes the situation, orients itself to conditions, decides what to do – and then acts. The cycle continues, as the team or organization observes the outcome of the action taken and re-orients itself to new conditions.

IBM SPSS Decision Management employs both predictive models and business rules in generating recommended actions. It provides robust reporting capabilities and is a "closed loop" system, feeding the results of today’s interactions into the models that drive tomorrow’s recommended actions. And it connects easily to other enterprise information systems and technologies.

"It has long been our opinion that for decision management solutions to be effective in optimizing decision making, they would need to eliminate the disconnect between technical users and decision makers, support collaboration, track and monitor decisions and capture best practices for decision making. The new IBM SPSS Decision Management software addresses these requirements."

Henry Morris, Senior VP of Worldwide Software and Services Research, IDC

It’s a configurable framework, and comes with two pre-built offerings – one to optimize customer interactions and the other to improve the management of insurance claims.

Decision Management is ideal for organizations with high volumes of interactions – for example, those in retail, banking and financial services, and insurance, as well as government agencies.

Customer Story


Infinity Property & Casualty Corporation deployed IBM SPSS Decision Management to reduce payments on fraudulent claims and, as reported by Nucleus Research, achieved a 403% annual ROI.

Achieve Breakthrough Results

Leading-edge organizations already use the tools and techniques of IBM SPSS Decision Management to remove the blind spots that had kept them from making the right decisions, every time. By providing precise, contextual analytics and insight at the point of impact, Decision Management has enabled these organizations to achieve "next generation" efficiencies:

  • A European retail bank shortened loan approval time from six working days to less than three minutes. This cut the cost per loan approved from €240 to €32 – and increased employee productivity by 833 percent.
  • A U.S.-based insurer was able to fast-track low-risk claims, achieving a 20 percent cost savings while doubling the rate of detected claims fraud.
  • Another major insurer reduced payouts by €2.5 million while improving the satisfaction level – and loyalty – of the vast majority of its customers

Because IBM SPSS Decision Management can be configured to integrate with an organization’s existing processes and systems, it can be used to address a wide range of challenges, including:

  • Increasing the targeting – and effectiveness - of cross-sell or up-sell campaigns
  • Reducing customer defection or churn
  • Minimizing the impact of fraud by focusing the work of investigators on the most suspicious cases
  • Improving the efficiency of law enforcement by providing more precise guidance to officers or agents in the field

What’s different about IBM SPSS Decision Management?

Simply put, this advanced solution:

  • Puts business users at the center of the process. They can access the Decision Management analytic engine from a Web-based graphical interface, enabling them to influence recommendations, based on their knowledge of the business
  • Facilitates integration with existing business systems and processes
  • Contains automatic processes for model governance, ensuring that models are continually "challenged," and that only the most reliable remain in production

Analytics Goes Mainstream

IBM SPSS Decision Management software gives business users a simple way to inject predictive analytics into the business process to ensure optimal outcomes. It offers a simple, "three-click" automated modeling and scoring Web interface.

It is best suited to "front line" operations (such as a call center, branch office, retail store, Web site, point-of-purchase terminal or ATM) because so many customer contacts occur at these sites every day.

IBM SPSS Decision Management can be configured to meet virtually any organization’s business requirements. Currently, two out-of-the-box applications are available:

Decision Management 6 includes all aspects of automated decision design and deployment that an organization needs. It empowers organizations to:

  • Make advanced modeling techniques more broadly available, in order to predict what is likely to happen based on patterns found in historical data
  • Optimize and automate high-volume decisions and produce improve outcomes in specific business situations
  • Monitor how recommendations based on predictive models affect customer interactions or other processes
  • Collect information about results, and use that information to refine predictive models and future recommended actions

What’s New in Decision Management 6?

Simulation capabilities

  • Run multiple simulations, compare the outcomes of different approaches – modifying variables such as cost and profit margin – and then deploy the best-performing models

Customizable business applications

Modeler Advantage

  • Enhance collaboration between business users and analytic professionals. Through a simple Web-based interface, business users can easily design and build models based on their own business scenarios, with their expert analysts validating and refining those models to improve results. This means that the results of predictive models by be deployed faster but with complete confidence in their reliability.

Read more about how you can put the power of predictive analytics in the hands of business users.

Enabling Smarter, Data-Driven Decision Making

IBM SPSS Decision Management 6 provides an easy-to-use interface enabling business users to develop and drive model- and rules-based predictive analytics and achieve the best possible outcomes.

Decision Management 6:

  • Connects predictive analytics to business processes through configurable, content-driven applications
  • Connects advanced analytics to business applications via its deployment services
  • Interfaces seamlessly and painlessly with an enterprise's infrastructure
  • Provides a mechanism for recording the outcomes of data discovery, for versioning and securing the schema, and for tracking changes
  • Is based on a Services Oriented Architecture compatible with application servers from RedHat, IBM, BEA, Oracle or SAP

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