Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Process Analytics Factory (PAF) has made it our mission revolutionize and democratize Process Mining. Our passion for innovation and our Process Mining Software PAFnow are the direct results of our intense research. We want our customers to be process experts and users of Process Mining. We are focused on making data-intensive work easier, more humane, and more up-to-date.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Axis LMS
Yes
Microsoft Dynamics 365
No
Salesforce
No
ServiceNow
No
Twixl
Yes
Integrations
Axis LMS
No
Microsoft Dynamics 365
Yes
Salesforce
Yes
ServiceNow
Yes
Twixl
No
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Caymland Technologies AG
Country
Switzerland
Website
caymland-m4.ch/
Vendor Details
Company Name
Process Analytics Factory
Founded
2014
Country
Darmstadt, DE / Ann Arbor, MI, USA
Website
pafnow.com
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
Marketing Analytics
A/B Testing
No
Campaign Management
No
Channel Attribution
No
Customer Journey Mapping
No
Dashboard
No
Performance Metrics
No
Predictive Analytics
No
ROI Tracking
No
Social Media Metrics
No
Website Analytics
No
Personalization
A/B Testing
No
Abandoned Cart Saver
No
Account Based Marketing
No
Behavioral Targeting
No
Campaign Segmentation
No
Content Analytics
No
Contextual Targeting
No
Customer Profiles
No
Experience Management
No
Recommendation Engine
No
Website Personalization
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