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What is SAS Visual Analytics?

An intuitive low-code visual platform enables users to create and deploy customized chatbots that comprehend natural language effectively. Users can obtain text responses, access data, create reports and visualizations, and apply analytics and AI through an easy-to-navigate conversational interface. Integrated within the SAS ecosystem, the platform allows seamless configuration of bots to improve data insight accessibility or connect them to external services for enhanced reach. Gaining insights from data has never been easier than just sending a straightforward message. With the aid of intelligent suggestions and clearly labeled related metrics, users can swiftly pinpoint significant relationships within their data. By harnessing machine learning and natural language explanations, users can discover, visualize, and convey engaging narratives and insights that are both accessible and comprehensible. This allows for a deep investigation into the causes behind various outcomes, exploration of all potential avenues, and the unearthing of hidden opportunities within the data. Moreover, the system automatically identifies key relationships, outliers, clusters, and more, revealing vital insights that can inform strategic actions and decision-making. Ultimately, this groundbreaking approach equips users with the tools to confidently and clearly navigate through intricate data environments and make impactful decisions based on their findings.

What is Rapidminer?

Rapidminer is a powerful enterprise AI and analytics solution from Siemens that helps organizations transform disconnected data into trusted insights and intelligent automation. The platform unifies data preparation, machine learning, knowledge graphs, generative AI, and agentic AI so teams can build scalable analytics solutions with business context. It is designed to help companies break down data silos, uncover hidden patterns, and make better use of dark data stored in reports, PDFs, spreadsheets, databases, and cloud systems. Rapidminer supports modern analytics initiatives while also helping organizations preserve existing investments by running SAS language programs without translation or third-party licenses. Users can combine SAS, Python, R, and SQL to modernize analytics workflows while reducing disruption to established processes. The platform’s democratized data science capabilities allow technical and nontechnical users to create explainable AI and machine learning models through visual drag-and-drop workflows. Its AutoML, interactive data preparation, and auditable data lineage features help teams build models faster while maintaining trust and transparency. Rapidminer also includes real-time data visualization and streaming analytics tools for industries that need fast, interactive decision-making. Rapidminer Graph Studio creates enterprise knowledge graphs that connect information across systems and enable contextual reasoning for smarter AI agents. These knowledge graphs help organizations answer complex questions that traditional databases may not handle well. With its combination of automation, explainable insights, semantic data modeling, and enterprise scalability, Rapidminer helps businesses operationalize AI and turn data into a long-term strategic advantage.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
JMP Statistical Software
Microsoft Azure
Red Hat OpenShift
SAS Viya

Integrations Supported

Axon Ivy
Azure Marketplace
Datalytics
MeaningCloud
RapidProM
Rapidminer AI Studio
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon
Rapidminer SLC
TAS Insight Engine
Tableau

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS
Windows
Mac

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/visual-analytics.html

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.siemens.com/en-us/products/rapidminer/

Categories and Features

Data Analysis

Not specified

Data Visualization

Not specified

Categories and Features

Data Analysis

Not specified

Data Mining

Not specified

Data Modeling

Not specified

Data Preparation

Not specified

Data Science

Not specified

Data Visualization

Not specified

Machine Learning

Not specified

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