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What is SAS Visual Machine Learning?

Employ a comprehensive set of SAS tools to access, handle, analyze, and present data in visual formats. By using SAS Visual Machine Learning, organizations can significantly boost their analytical skills through integrated machine learning and deep learning functionalities that improve visualization and reporting methods. This strategy empowers users to visually identify and reveal significant connections within their data sets. Furthermore, the platform enables the development and dissemination of interactive reports and dashboards, while also allowing for self-service analytics that quickly assess possible outcomes, encouraging more informed, data-driven decision-making. Users have the capability to explore their data deeply and build or adjust predictive models in the SAS® Viya® environment. Enhanced collaboration among data scientists, statisticians, and analysts allows for the ongoing refinement of models tailored to particular segments or demographics, ensuring that decisions are made based on accurate insights. Additionally, the user-friendly visual interface streamlines the resolution of complex analytical issues, effectively managing all aspects of the analytics lifecycle while fostering a cooperative atmosphere for all participants. This collaborative framework not only enhances the efficiency of the analytical process but also leads to more innovative and effective solutions in data interpretation.

What is Data V?

DataV is an advanced analytics and visualization platform that helps organizations turn complex, raw data into clear, actionable insights through both static and dynamic visualizations. It supports smarter decision-making with powerful data modeling, AI-driven analytics, and interactive dashboard capabilities that adapt to real-time information. With seamless data integration, automated reporting workflows, predictive insights, and collaborative tools, DataV brings all business-critical data into one unified interface. This allows teams to monitor performance, uncover trends, improve operational clarity, and make confident strategic decisions with ease.

Media

Media

Integrations Supported

Apache Cassandra
Apache CouchDB
CockroachDB
GitLab
HROne
IBM Db2
JSON
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft Word
MySQL
PostgreSQL
Redis
SAP HANA
SAS Visual Statistics
SAS Viya
Salesforce
Supabase

Integrations Supported

Apache Cassandra
Apache CouchDB
CockroachDB
GitLab
HROne
IBM Db2
JSON
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft Word
MySQL
PostgreSQL
Redis
SAP HANA
SAS Visual Statistics
SAS Viya
Salesforce
Supabase

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

support.sas.com/en/software/visual-machine-learning.html

Company Facts

Organization Name

Skillmine Technology Consulting Pvt Ltd

Date Founded

2011

Company Location

India

Company Website

skill-mine.com

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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