SPSS Neural Networks offers techniques that enable you to explore your data in new ways and, as a result, build more accurate and effective predictive models.

A computational neural network is a set of non-linear data modeling tools consisting of input and output layers plus one or two hidden layers. The connections between neurons in each layer have associated weights, which are iteratively adjusted by the training algorithm to minimize error and provide accurate predictions. You set the conditions under which the network “learns” and can finely control the training
stopping rules and network architecture, or let the procedure automatically choose the architecture for you.

You can combine neural network techniques with other statistical approaches to gain clearer insight in many areas.

Market research

  • Create customer profiles

  • Discover customer preferences

Database marketing

  • Segment your customer base

  • Optimize campaigns

Financial analysis

  • Analyze applicants’ creditworthiness

  • Detect possible fraud

Operational analysis

  • Manage cash flow

  • Improve logistics planning


  • Forecast treatment costs

  • Perform medical outcomes analysis

  • Predict hospital length of stay


SPSS South Asia (P) Ltd

#5DC - 701, 2nd Floor ,5th D Cross

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Bangalore -560043



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