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What is WizWhy?
WizWhy examines the interplay between the values of one data field and those of others within the dataset. This analysis revolves around a user-selected dependent variable, while the other fields serve as independent variables or conditions. The dependent variable can be analyzed in two distinct ways: either as a Boolean value or as a continuous measurement.
To enhance their analysis, users can fine-tune various parameters, such as the minimum probability needed for rule generation, the minimum number of instances required to substantiate each rule, and the relative costs of false negatives compared to false positives.
WizWhy effectively identifies and articulates a set of rules that link the dependent variable to the other fields, employing if-then and if-and-only-if statements to convey these relationships. Furthermore, based on the established rules, WizWhy reveals significant patterns, uncovers unexpected rules that may highlight intriguing phenomena, and identifies anomalies within the dataset. In addition to this, WizWhy can also generate predictions for new instances by utilizing the rules it has derived, enabling users to make informed decisions based on the analysis. The comprehensive insights provided by WizWhy empower users to understand their data more deeply and leverage the findings for strategic purposes.
What is MultiScoring?
Our all-encompassing multiscoring FinTech platform features an online decision engine that harnesses data analytics, behavioral insights, and a variety of scoring methodologies. To delve deeper into our offerings, we encourage you to contact us. This decision engine meticulously validates rules and processes essential data for the approval of various financial products. It employs an array of variables gathered from multiple bureaus to improve scoring precision. Advanced queries and strong integration capabilities provide seamless connectivity with a range of information sources, such as APIs, web services, webhooks, and databases. We also offer customizable white-label forms designed for efficient data collection. Through our administrative console, users can evaluate outcomes with statistical dashboards, refine model rules, and modify variables as necessary. Our API enables integration with an array of data sources, catering to desktop applications, websites, and mobile platforms. The types of information we manage include personal data, employment history, financial information, residency details, banking records, scoring, identity validation, vehicle information, garnishments, and situational assessments. Our workflow comprises several key phases: we initiate with an in-depth analysis, progress to development, and ultimately transition to production. We collaboratively define the project scope, identify pertinent information sources, establish suitable models, adjust rules as required, create the necessary integrations, deploy the model, and meticulously configure all settings to guarantee peak performance. This structured methodology ensures that our clients receive bespoke solutions that align precisely with their unique financial requirements, fostering a strong partnership built on trust and effectiveness.
Media
No images available
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Webinars
Online Training
Company Facts
Organization Name
WizSoft
Date Founded
1983
Company Location
United States
Company Website
www.wizsoft.com/products/wizwhy/
Company Facts
Organization Name
LAPS Consulting
Company Location
Argentina
Company Website
laps.com.ar
Categories and Features
Data Analysis
Not specified
Data Mining
Not specified
Predictive Analytics
Not specified
Qualitative Data Analysis
Not specified
Categories and Features
Financial Risk Management
Credit Risk Management
Risk Analytics Benchmarks