Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
WizRule, data auditor, automatically detects patterns in the data and flags cases that deviate from these patterns as possible frauds or errors. Any case that is suspected to be fraud or error is one that departs from the established patterns. WizRule can be used by auditors and fraud examiners as well as forensic investigators and data-quality managers. Their main task is to uncover fraudulent cases and data errors. WizRule is able to assist with this task. WizRule, a data-auditing software based on data mining technology, is available. It analyzes the data and identifies inconsistencies. WizRule works automatically. The user simply selects the data, and WizRule will analyze it. WizRule examines all relationships between the values in the different fields and reports on unusual and unlikely cases. WizRule identifies fraudulent cases that are not visible with standard auditing tools.
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
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
one time licensing fee
Discount for multiple licenses.
License fee includes one year maintenance program (MP); MP includes technical support trough email and software upgrades.
Option to continue MP after the first year.
License fee includes one year maintenance program (MP); MP includes technical support trough email and software upgrades.
Option to continue MP after the first year.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
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
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
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
WizSoft
Founded
1983
Country
Israel
Website
www.wizsoft.com/wizrule/
Vendor Details
Company Name
WizSoft
Founded
1983
Country
United States
Website
www.wizsoft.com/products/wizwhy/
Product Features
Audit
Alerts / Notifications
Yes
Audit Planning
Yes
Compliance Management
Yes
Dashboard
No
Exceptions Management
Yes
Forms Management
No
Issue Management
No
Mobile Access
No
Multi-Year Planning
No
Risk Assessment
Yes
Workflow Management
Yes
Fraud Detection
Access Security Management
No
Check Fraud Monitoring
Yes
Custom Fraud Parameters
Yes
For Banking
Yes
For Crypto
No
For Insurance Industry
Yes
For eCommerce
Yes
Internal Fraud Monitoring
Yes
Investigator Notes
No
Pattern Recognition
Yes
Transaction Approval
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