Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Our comprehensive multiscoring FinTech solution includes an online decision engine that leverages data analysis, behavioral insights, and scoring mechanisms. If you wish to learn more, please reach out to us. Our decision engine validates rules and processes data necessary for the approval of financial products. It utilizes a combination of variables sourced from multiple bureaus to enhance scoring accuracy. Smart queries and robust integration capabilities allow connectivity with various information sources, including APIs, web services, webhooks, and databases. We also provide customizable white-label forms for effective data collection. With our administrative console, you can analyze outcomes through statistical dashboards, modify model rules, and adjust variables as needed. Our API facilitates integration with diverse data sources, supporting desktop applications, websites, and mobile devices. The information we handle encompasses personal, employment, financial, residential, banking, scoring, identity validation, vehicle data, garnishments, and situational assessments. Our workflow involves several stages: we begin with thorough analysis, followed by development, and then move to production. We agree on the project scope, select relevant information sources, define the appropriate models, adjust rules accordingly, develop necessary integrations, implement the model, and finally, configure all settings to ensure optimal performance. This systematic approach ensures that our clients receive tailored solutions that meet their specific financial needs.
Description
WizWhy analyzes how the values of one data field are influenced by the values of other fields in the dataset. The analysis hinges on a dependent variable chosen by the user, while the remaining fields act as independent variables or conditions. This dependent variable can be examined in two ways: as a Boolean value or as a continuous measurement.
Users have the ability to refine their analysis by setting various parameters, including the minimum probability for rule formation, the least number of instances required for each rule, and the comparative costs associated with false negatives versus false positives.
WizWhy identifies and presents a series of rules that connect the dependent variable with other fields, expressing these rules using if-then and if-and-only-if constructs. Based on the identified rules, WizWhy highlights significant patterns, reveals unexpected rules that may indicate interesting phenomena, and points out unusual cases within the dataset. Additionally, WizWhy is capable of making predictions for new instances by leveraging the established rules.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
LAPS Consulting
Country
Argentina
Website
laps.com.ar
Vendor Details
Company Name
WizSoft
Founded
1983
Country
United States
Website
www.wizsoft.com/products/wizwhy/
Product Features
Financial Risk Management
Compliance Management
No
Credit Risk Management
Yes
For Hedge Funds
No
Liquidity Analysis
No
Loan Portfolio Management
No
Market Risk Management
No
Operational Risk Management
No
Portfolio Management
No
Portfolio Modeling
No
Risk Analytics Benchmarks
Yes
Stress Tests
No
Value At Risk Calculation
No
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
Data Mining
Data Extraction
No
Data Visualization
No
Fraud Detection
No
Linked Data Management
No
Machine Learning
No
Predictive Modeling
No
Semantic Search
No
Statistical Analysis
No
Text Mining
No
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No