IBM SPSS
Combine predictive analytics and business rules to optimise and automate the millions of small decisions made every day. Increase the positive outcomes of good decisions, and minimise the negative impact of bad decisions.
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 organisation or project team observes the situation, orients itself to conditions, decides what to do – and then acts. The cycle continues, as the team or organisation 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’s a configurable framework, and comes with two pre-built offerings – one to optimise customer interactions and the other to improve the management of insurance claims.
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 organisation or project team observes the situation, orients itself to conditions, decides what to do – and then acts. The cycle continues, as the team or organisation 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’s a configurable framework, and comes with two pre-built offerings – one to optimise customer interactions and the other to improve the management of insurance claims.
Decision Management is ideal for organisations with high volumes of interactions –for example, those in retail, banking and financial services, and insurance, as well as government agencies.
Download the SPSS Whitepaper: Decisions that Drive Success Using Decision Management as a Competitive Advantage
Interested in finding out more?
If you would like further information on SPSS, please contact us on 01753 491 310 or by email at info@incasoftware.co.uk