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features
design
support

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Write a Review

Description

Take charge of your collections process using Cogent, a robust on-premise solution designed for debt collection and case management. Key features of Cogent encompass a rules engine, onboarding processes, document management, and calendar functionalities. The innovative rules engine provides users with an array of pre-established rules and criteria for thorough data analysis and assessment. Additionally, Cogent's case management capabilities allow users to efficiently handle case records and important deadlines, ensuring streamlined operations and enhanced productivity. Users can leverage these features to optimize their debt collection strategies effectively.

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

Screenshots View All

No images available

Integrations

AlpineDC Yes 
CortexDecoder Yes 
HuLoop Yes 
LONI Yes 
Oriso Yes 

Integrations

AlpineDC No 
CortexDecoder No 
HuLoop No 
LONI No 
Oriso No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises Yes 
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 No 
Live Rep (24/7) Yes 
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) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

AgreeYa Solutions

Founded

1999

Country

United States

Website

agreeya.com

Vendor Details

Company Name

WizSoft

Founded

1983

Country

United States

Website

www.wizsoft.com/products/wizwhy/

Product Features

Debt Collection

Agency Management Yes 
Auto Dialer Yes 
Automated Notices Yes 
Callback Scheduling Yes 
Client Management Yes 
Commission Management Yes 
Compliance Management Yes 
Contact Management Yes 
Credit Bureau Reporting Yes 
In-House Collections Yes 
Payment Plans Yes 
Transaction Management Yes 

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 

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