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SPSS Modeler includes capabilities for exporting data to IBM Cognos Business Intelligence and Cognos TM1 software. The results of analysis can be distributed for reporting, monitoring and planning to key decision-makers who only need the results. When further analysis is needed, SPSS Modeler can also access them as a data source, which means the process can continue again, thereby feeding the results back to wherever the questions began.


IBM SPSS Statistics provides the ability to carry out further statistical
analysis and data management to complement
SPSS Modeler and its data mining abilities with a dedicated section on the nodes.


SPSS Modeler provides support for PureData System for Analytics to access specific models from the SPSS Modeler Interface and leverage the hardware’s speed and performance.


For analytics on big data, the addition of SPSS Analytic Server to SPSS Modeler enables analytics to           be processed in a Hadoop distribution.


Integration of SPSS Modeler with Apache Spark through SPSS Analytic Server provides a broad range of big data algorithms and in-memory processing capabilities for creation of fast and efficient machine learning models.


SPSS Modeler streams can also be deployed with InfoSphere Streams for high-velocity streaming data applications requiring predictive scores.






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