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Description
Forrester research indicates that a significant portion, estimated between 60% and 73%, of data generated within enterprises remains untapped for analytical purposes. Discover how we can assist you in unlocking the full potential of your data. DataStories has made sophisticated machine learning accessible and comprehensible for non-technical professionals. The DataStories Platform is an AI-driven tool designed to provide clear and intuitive explanations in under 30 minutes, enabling you to understand, forecast, and guide your business objectives using relevant data. Our mission at DataStories is to empower individuals to make decisions based on data insights. We provide a self-service analytics platform tailored for business specialists who often find themselves excluded from analytics due to the complexity of conventional tools. With our platform, you can conduct your own analyses and present your findings in the form of engaging and explainable data stories, which can easily be exported to PowerPoint for broader sharing and impact. By simplifying the analytics process, we aim to democratize data-driven decision-making across organizations.
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.
API Access
Has API
API Access
Has API
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
DataStories International
Founded
2011
Country
Belgium
Website
datastories.com
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/rapidminer/slc/
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual 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
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
