Introduction SPM:
Salford Systems Predictive Modeling Suite

Salford Systems Predictive Modeling Suite (SPM) is a highly accurate and ultra-fast platform for developing predictive, descriptive, and analytical models from databases of any size, complexity, or organization. Salford SPM automation accelerates the process of model building by conducting substantial portions of the model exploration and refinement process for the analyst. While the analyst is always in full control, we optionally anticipate the analyst’s next best steps and package a complete set of results from alternative modeling strategies for easy review. Do in one day what normally requires a week or more using other systems.

Core Components: CART and TreeNET MARS, RandomForests, and other Advanced Technology Features: Modeling Automation, Summary Statistics, Data Access
	CART generates clear, easy-to-understand decision trees in the form of flow charts.
	TreeNet constructs dependency plots of a target vs. individual predictors, as well as 3D interaction displays.
	MARS produces 2D and 3D plots of detected variable transformations and interactions.
	RandomForests features include clusters and segments, anomaly tagging, and multivariate class discrimination.
Simply Superior: Salford Systems’ tools have dominated the fiercely contested field of data mining competitions for nearly a decade. Since 2000, no other vendor has come close to our record of consistent out-performance:
2010 DMA Analytics Challenge  (Make-A-Wish Foundation Targeting Solution, Lapsed Donor Segments)2009 INFORMS (Healthcare Quality Task) 2009 KDDCup (CRM task, telecom dataset) 2008 DMA Analytics Challenge (Direct Marketing Optimization task) 2007 DMA Analytics Challenge (Targeted Marketing task) 2007 PAKDD (Cross-selling task, financial dataset) 2006 PAKDD (Upselling task, telecom dataset) 2004 KDDCup (Particle Physics task) 2002 Duke/TeraData (Churn Modeling, CRM) 2000 KDDCup (Web Analytics)