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 This tool delivers precisely what you need for effective real-time scoring, focusing solely on scoring without any outdated, complicated features.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
Kondeor.ai is an advanced statistical analysis platform that supports multiple languages, including English and German, and is enhanced by artificial intelligence. Users can easily upload their datasets, pose their research inquiries, and receive results generated from more than 80 statistical techniques, which range from t-tests and ANOVA to complex multilevel modeling, Bayesian statistics, and various machine learning approaches, all processed through R and articulated in straightforward language by an integrated AI system. This platform primarily caters to students working on empirical theses, educators, and companies engaged in market research activities. Additionally, it features an e-learning component that offers courses and assessments to further aid users. Notably, there’s no need for installation or prior knowledge of SPSS or R, making it accessible to a wide audience. The service is offered under a subscription model that includes Free, Basic, and Pro options, ensuring that users can choose the best fit for their needs while leveraging the power of statistical analysis.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$9950 one-time payment
Free Trial
Yes
Free Version
No
Pricing Details
€ 14,- / user / month
Free Trial
No
Free Version
Yes
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
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
Kondeor
Founded
2008
Country
Austria
Website
www.kondeor.ai
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
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