Plug&Score Modeler Description
Introducing an exceptionally user-friendly scoring system specifically designed for small to medium-sized credit institutions, crafted by scoring specialists. This tool delivers precisely what you need for effective real-time scoring, focusing solely on scoring without any outdated, complicated features. It boasts the most favorable cost-to-value ratio available in the industry and can be operational within just a few days. Thanks to its intuitive wizard-based scorecard modeling interface, users find it easy to navigate. You can also monitor and validate scorecards with a selection of pre-defined reports. The system incorporates Reject Inference through both automated and manual methods, alongside automated binning utilizing chi-square techniques and manual binning based on Weight of Evidence (WOE). Additionally, it offers both automatic and manual sampling options, along with graphical statistics to visualize data insights. Users can filter, sort, and reassign portfolio data into “Good” and “Bad” categories, while numeric variables can easily be transformed into categorical forms. Furthermore, it provides correlation coefficients for each variable pair, both before and after the binning process, ensuring comprehensive analysis and understanding of the dataset. With this robust scoring system, credit organizations can enhance their decision-making processes efficiently.
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🚀 Key Technical Features:
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🛠️ Built for Integration:
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⚙️Google and Outlook Calendars.
⚙️Custom API for bespoke internal tool integration.
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Pricing
Pricing Starts At:
$9950 one-time payment
Free Trial:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Plug&Score
Year Founded:
2005
Headquarters:
Netherlands
Website:
plug-n-score.com
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Product Details
Platforms
Windows
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Customer Support
Business Hours
Online Support
Plug&Score Modeler Features and Options
Statistical Analysis Software
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
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