Speed: By definition, any cluster, neural or CHAID technique is computationally intensive. Specifically, SegmentSolve™ calculates quickly because it is a native 32 bit application written entirely in C++, and optimized for speed.

Capacity: SegmentSolve™ is limited only by the available memory (both RAM and virtual) on the host computer.

Data Intelligence: SegmentSolve™ uses built-in rules and data scanning to test the data prior to analysis. It makes recommendations on whether the data should be centered, weighted or standardized.

One Integrated Solution: SegmentSolve™ is more than an advanced clustering tool. SegmentSolve™ combines the three classical steps of segmentation (cluster or segment development, cluster solution selection, and segment characterization) into one integrated platform. It does this by linking the two required analytical tools (advanced cluster analysis and exhaustive cross-tabulation analysis) with two powerful enabling technologies (expert system identification of the "best" cluster, and computer aided significance scanning).

Statistical Significance Testing: SegmentSolve™ automatically finds which attributes are significantly different between clusters using a one-way analysis of variance (ANOVA).

Visualization: Visually inspect the cluster solution for any set of variables, for any cluster technique, and for any solution (i.e., number of clusters).

Data Portability: SegmentSolve™ can directly export segmentation solutions to PrefSolve™ or SatisSolve™, Excel or SPSS. This enables the creation of targeted new product or targeted customer satisfaction strategies.

Makes Recommendations: Identifies the best segmentation based on weighting of technical criteria.

Customizable: The output reports of SegmentSolve™ can be customized. (e.g., include or exclude cluster reproducibility, best replication method, cluster means, sorted deviation from grand means, etc.).

Report Portability: The reports can be copied directly to any Windows-hosted spreadsheet, or can be saved as an Excel spreadsheet.