IBM SPSS Modeler Features
Build predictive models efficiently, and then rapidly deploy them – without the need for programming!
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Perform a variety of modeling approaches in a single run and then compare the results of the different modeling methods. Select which models to use in deployment – without having to run them all individually and then compare performance. Choose from three automated modeling methods: Auto Classifier, Auto Numeric and Auto Cluster.
Go beyond the analysis of structured numerical data and include information from unstructured text data such as web activity, blog content, customer feedback, emails and social media to capture key concepts, themes, sentiments and trends – ultimately improving the accuracy of your predictive models.
Identity resolution is vital in a number of fields, including customer relationship management, fraud detection, anti-money laundering and national security. Entity analytics improves the coherence and consistency of data by resolving like entities – even when the entities do not share any key values.
More reasons to use SPSS Modeler
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Entity Analytics: Greatly increase the accuracy of your models quickly and easily (link resides outside of ibm.com)
IBM SPSS Modeler Premium makes entity analytics easy to use for everything from detecting fraud to sending marketing campaigns to the right people.
Discover why the analyst firm Hurwits & Associates says IBM SPSS predictive analytics software improves uplift, targeting, marketing efficiency … and ultimately increases ROI.