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Description
Engage in a personalized dialogue by effectively connecting pertinent parameters; whenever a customer visits your website, explores the app, or completes a transaction, data is generated with each digital engagement. Caymland M4 produces GDPR-compliant data with every interaction, transforming anonymous information in real time through business logic into enriched Smart Data. Utilizing both manual and automated analysis tools, this data is continuously processed and directly incorporated into automated systems. The built-in semantic engine discerns user needs according to the established target context and prioritizes contacts based on predetermined criteria. With Caymland M4, the fusion of content and context elevates communication, enabling meaningful interactions and tailored campaigns that foster genuine dialogue. Furthermore, Caymland M4 is meticulously crafted for seamless control and automation, harmonizing all communication channels while integrating the entire system landscape for optimal efficiency. This holistic approach ensures that every touchpoint with the customer is strategically aligned and effective.
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
API Access
Has API
Screenshots View All
No images available
Integrations
Axis LMS
Twixl
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Caymland Technologies AG
Country
Switzerland
Website
caymland-m4.ch/
Vendor Details
Company Name
WizSoft
Founded
1983
Country
United States
Website
www.wizsoft.com/products/wizwhy/
Product 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
Product 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