Plug&Score Modeler 2.7: Advanced Version of the Scorecard Development Software Released

Cupertino, CA, November 19, 2011 --(PR.com)-- Following an extensive period of research and development, Alyuda Research announces the release of version 2.7 of the Plug&Score Modeler scorecard development software for worldwide sales and distribution.

The development strategy of the latest version of Plug&Score Modeler resulted from existing customer feedback, suggestions and surveys, analysis of the current market environment and industry trends.

Key features of Plug&Score Modeler 2.7 include:

Advanced anomaly identification and handling (missing values, wrong numbers, numeric outliers)
Mistyped values can now be detected and resolved (merge, rename categories right after input)
Preliminary analysis of distribution in data columns
Advanced algorithm to reduce dataset size when keeping same data distributions
Categories can now be merged for both numeric and categorical variables
Ability to exclude any amount of rows/columns from further analysis

· Several minor issues are fixed
· Various stability and usability improvements

Plug&Score Modeler 2.7 was developed to meet various business and technical requirements of customers and end users. The credit scoring software allows identifying the key factors, impacting customer’s creditworthiness, developing scoring models in-house, analyzing their efficiency and exporting scorecards to the decision management system.

Plug&Score Modeler is available for a free 30-day trial.

About Alyuda Research
Alyuda Research is an internationally recognized provider of data mining software for enterprises and individuals. Founded in 2001, Alyuda demonstrates its commitment to innovation and a dedication to its customers by developing high-end solutions with an exceptionally high quality service.

About the Plug&Score Modeler solution
Plug&Score Modeler is software for building and managing scorecards as fast and easy as possible. With Plug&Score® Modeler, customers will get the most efficient scorecards within the shortest timeframe.

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