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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 Caymland M4?

Initiate a customized conversation by seamlessly linking relevant parameters; each time a customer visits your website, navigates your application, or completes a purchase, data is generated through these digital interactions. Caymland M4 ensures GDPR-compliant data creation with every engagement, converting anonymous information in real time into enriched Smart Data via business logic. This information is processed continuously through both manual and automated analysis tools, which are then integrated directly into automated systems. The integrated semantic engine identifies user requirements based on the specified target context and prioritizes contacts following established criteria. With Caymland M4, the combination of content and context enhances communication, facilitating meaningful interactions and personalized campaigns that encourage genuine dialogue. Additionally, Caymland M4 is designed for effortless control and automation, synchronizing all communication channels while unifying the entire system landscape for maximum efficiency. This comprehensive strategy guarantees that every customer touchpoint is not only strategically aligned but also highly effective, ensuring a superior user experience at every stage.

Media

No images available

Media

Integrations Supported

Axis LMS
Twixl

Integrations Supported

Axis LMS
Twixl

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

WizSoft

Date Founded

1983

Company Location

United States

Company Website

www.wizsoft.com/products/wizwhy/

Company Facts

Organization Name

Caymland Technologies AG

Company Location

Switzerland

Company Website

caymland-m4.ch/

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Marketing Analytics

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Personalization

A/B Testing
Abandoned Cart Saver
Account Based Marketing
Behavioral Targeting
Campaign Segmentation
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization

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