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Ratings and Reviews 0 Ratings
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What is UNISTAT?
Performing robust statistical data analysis in Microsoft Excel can be quite demanding given the plethora of available add-ins and software solutions. Nonetheless, UNISTAT distinguishes itself by seamlessly blending the functionality and accuracy of a full-fledged statistical package into your routine for data analysis and visualization. To use UNISTAT as an add-in in Excel, you simply need to select a data range and pick a procedure from the UNISTAT menu options. Its intuitive dialogue boxes facilitate easy navigation, ensuring that users feel they are still within the familiar Excel environment rather than a separate program. This smooth integration not only boosts your analytical skills but also enriches your data analysis experience significantly, making UNISTAT a beneficial resource for those aiming to enhance their analytical proficiencies. Leveraging such tools can lead to more insightful interpretations of data, ultimately driving better-informed decisions.
What is Plug&Score Modeler?
Presenting a highly accessible scoring solution tailored for small to medium-sized credit institutions, developed by experts in scoring. This innovative tool is designed to meet your real-time scoring needs effectively, emphasizing straightforward scoring without the burden of outdated or complex features. It offers an unparalleled cost-to-value ratio within the industry and can be implemented in just a matter of days. Its user-friendly wizard-based scorecard modeling interface ensures easy navigation for all users. Additionally, the system allows for the monitoring and validation of scorecards through a range of pre-defined reporting options. It features Reject Inference capabilities through both automated and manual approaches, as well as automated binning using chi-square methods and manual binning based on Weight of Evidence (WOE) principles. The system also includes flexible sampling options, both automatic and manual, accompanied by graphical statistics to help visualize data insights effectively. Users are empowered to filter, sort, and categorize portfolio data into "Good" and "Bad" classifications, while numeric variables can be swiftly converted into categorical formats. Moreover, it provides correlation coefficients for each variable pair, facilitating a thorough analysis of relationships both pre- and post-binning. With this powerful scoring system in place, credit organizations can significantly improve their decision-making processes and enhance overall operational efficiency. Embrace this opportunity to transform your scoring practices and drive better outcomes for your institution.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
$995 one-time payment
Free Trial Offered?
Free Version
Pricing Information
$9950 one-time payment
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
UNISTAT
Date Founded
1984
Company Location
United Kingdom
Company Website
www.unistat.com
Company Facts
Organization Name
Plug&Score
Date Founded
2005
Company Location
Netherlands
Company Website
plug-n-score.com
Categories and Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
Categories and Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization