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Average Ratings 0 Ratings
Description
Rapidminer SLC is a Siemens software solution built to help organizations modernize analytics environments while continuing to use existing SAS language programs. It gives analysts, developers, and operations teams a flexible way to work with SAS language, Python, R, SQL, no-code tools, and drag-and-drop workflows in one ecosystem. The platform helps reduce migration risks by maintaining functionality for current SAS language applications while enabling gradual adoption of open-source analytics. Rapidminer SLC supports on-premises, cloud, and hybrid deployments, giving organizations more freedom to evolve infrastructure without disrupting business operations. Users can connect to a wide range of data sources, including cloud services, Hadoop, data warehouses, databases, Microsoft Excel, CSV files, SPSS, SAS language formats, and other file-based data. Its modern IDE allows teams to create, maintain, run, and analyze programs while reviewing data, results, and logs in one environment. Rapidminer SLC also makes it possible to exchange data between SAS language, Python, R, and SQL for more connected analytics development. Rapidminer SLC Hub adds enterprise management features for security, load balancing, publishing, deployment, and workload allocation. By combining legacy analytics support with modern open-source flexibility, Rapidminer SLC helps organizations improve productivity, scalability, and long-term analytics innovation.
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
Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon
Integrations
Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon
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
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/rapidminer/slc/
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
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
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