What's New in PASW Modeler 13.0?

PASW Modeler makes it easy to discover insights in your data. Its simple graphical interface puts the power of data mining in the hands of business users and increases analyst productivity

PASW Modeler 13.0 includes a range of new features and product enhancements designed to help you work more efficiently and productively, and produce more accurate results.

Unified customer analysis techniques

Gain a complete customer analysis toolkit that unifies both advanced and traditional techniques in a single framework.

§   Identify your best customers using the RFM customer value segmentation scoring technique

 §   Accurately estimate customer attrition using Cox regression for survival analysis

§   Easily combine these traditional techniques with advanced data mining prediction and segmentation algorithms

 Automated modeling

Enhance productivity and achieve faster time-to-solution using Clementine’s powerful automated modeling.

§   Find the best models for predicting both binary (“yes/no”) and numeric outcomes using automated modeling operations that create and evaluate many different models in a single step

§   Select the best model more easily with visual evaluation information

§   Gain more detailed control over automated modeling using new frequency, weights, and misclassification costs features

 Enhanced analytics

Leverage new analytical techniques to improve predictive accuracy and achieve better results.

§   Obtain more accurate predictions by combining two or more models with the new Ensemble node

§   Employ advanced sampling techniques, including stratified sampling to obtain more representative results and clustered sampling to ensure samples include all related items

§   Compare scores easily across different algorithms and technologies using propensity scores

 Wider range of algorithms

Solve more business problems and predict outcomes with greater accuracy using several new algorithms.

§   Make more accurate predictions when working with wide data sets using the new Support Vector Machine (SVM) node

§   Obtain richer insight from graphical Bayesian network models

 

 Improved visualisation and reporting

Achieve better insight and more effective communication. With PASW Modeler 13.0, you can produce the right graph or table type, export analysis to third-party tools, and communicate results more clearly across the organization.

§   Create more compelling graphs using a wizard-like interface that guides you to the most appropriate chart types for your data

§   Interact with graphs via rich data selection tools, resulting in more accurately focused analysis §   Improve your reporting by including easy-to-create custom tables. Nest, stack, or layer variables in multiple dimensions to display summaries for multiple statistics and display multiple response sets.

 §   Discover the best models and get better predictive insight with variable importance charts, which rank variables according to their relative importance  

Improved scalability and integration

With PASW Modeler 13.0, you gain both desktop tools and an upgrade path to a highly scalable, highly integrated, and easily managed data mining and predictive analytics platform for the enterprise.

§         Leverage extended database optimization for improved performance

§         Gain enhanced real-time scoring capabilities

§         Achieve a deeper level of integration with custom or third-party components