Average Ratings 0 Ratings
Average Ratings 0 Ratings
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 This tool delivers precisely what you need for effective real-time scoring, focusing solely on scoring without any outdated, complicated features.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.
Description
SigmaXL was created from the ground up to provide a cost-effective, powerful and easy-to-use tool that allows users to measure, analyze and improve their service, transactional and manufacturing processes. SigmaXL can be used as an add-in to Microsoft Excel or for Lean Six Sigma training. Version 9 includes advanced control charts and time series forecasting. Click here to see all features in SigmaXL Automatic removal of extreme VIF and collinear terms (with an alias or removal report). Specify interactions and quadratic orders (all interactions and up to 3-Way). ANOVA Type I and/or III Sum-of–Squares with Pareto of Percent contribution and Standardized Effects. Lenth Pseudo Standard Error in Saturated Models (Orthogonal and Non-Orthogonal) with Monte Carlo P-Values or Student T P. White robust standard errors for non-constant variance (Heteroskedasticity-Consistent).
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
$9950 one-time payment
Free Trial
Yes
Free Version
No
Pricing Details
$249.00/one-time/user
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Plug&Score
Founded
2005
Country
Netherlands
Website
plug-n-score.com
Vendor Details
Company Name
SigmaXL
Founded
1998
Country
Canada
Website
www.sigmaxl.com
Product Features
Statistical Analysis
Analytics
Yes
Association Discovery
Yes
Compliance Tracking
Yes
File Management
No
File Storage
Yes
Forecasting
Yes
Multivariate Analysis
Yes
Regression Analysis
Yes
Statistical Process Control
Yes
Statistical Simulation
Yes
Survival Analysis
No
Time Series
No
Visualization
Yes
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
SPC
Corrective Actions (CAPA)
Yes
Data Entry
No
Data Linking
No
Data Management
No
Excel Loader
No
Job Management
No
OPC Data Collection
No
Performance Metrics
Yes
Point-of-Production Analysis
No
Real Time Data Collection
No
Regulatory Compliance
No
Statistical Analysis
Analytics
No
Association Discovery
No
Compliance Tracking
No
File Management
No
File Storage
No
Forecasting
No
Multivariate Analysis
No
Regression Analysis
No
Statistical Process Control
No
Statistical Simulation
No
Survival Analysis
No
Time Series
No
Visualization
No