Predictive Analytics with R, PMML, ADAPA, and Excel

January 7, 2011

(This article was first published on Predictive Analytics, Big Data, Hadoop, PMML, and kindly contributed to R-bloggers)

PMML (Predictive Model Markup Language) is the standard language used by all the top analytic vendors (commercial and open-source) to represent predictive models. These include IBM/SPSS, SAS, KXEN, TIBCO, STATISICA, R, KNIME, and RapidMiner (for details, see list of PMML-powered tools at

Once a predictive model is exported in PMML format, it can be easily deployed in ADAPA, the predictive decisioning platform from Zementis. ADAPA is PMML-based and is able to upload new and older versions of PMML files and make them available for execution, right away.

Model execution can be performed via the ADAPA Console, Web-services or from within Excel. ADAPA makes predictive models accessible from anywhere at anytime.

See for yourself. Watch our new R to PMML to ADAPA video and learn how to execute your predictive models from within Excel by using ADAPA on the Amazon Cloud.

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