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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 NaturalText?

NaturalText A.I. enables users to extract more value from their data by revealing relationships and building comprehensive collections while uncovering concealed insights within documents and text-based information. Utilizing advanced artificial intelligence technology, this software identifies hidden data connections that might otherwise go unnoticed. By employing cutting-edge techniques, it interprets context and analyzes patterns to present insights in an easily comprehensible format. Finding critical information within extensive text data can be a daunting task, as traditional search methods are limited to indexing document information. In contrast, NaturalText A.I. has the capability to discover new insights across vast collections, including patents and academic research. This innovative tool not only enhances your understanding of existing data but also opens the door to valuable insights that may have previously remained hidden. With NaturalText A.I., you can transform the way you interact with your data, leading to more informed decisions and strategies.

Media

Media

Integrations Supported

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

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

$5000.00
For SMB starting price is $5000 for basic version. Full featured version available for higher price. Academic and Startup discounts available.
Enterprises contact for price quote.
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

Windows
Mac
Linux

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
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

NaturalText

Date Founded

2015

Company Location

India

Company Website

naturaltext.com

Categories and Features

Data Analysis

Not specified

Data Visualization

Not specified

Categories and Features

AI Data Analytics

Not specified

AI Tools

Not specified

Big Data

Data Mining
Data Visualization
High Volume Processing
No-Code Sandbox
Predictive Analytics

Data Analysis

Data Discovery
High Volume Processing
Text Analytics

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Sensitive Data Identification

Data Enrichment

Not specified

Data Extraction

Document Extraction

Data Mining

Data Extraction
Linked Data Management
Machine Learning
Semantic Search
Text Mining

Deep Learning

Document Classification
ML Algorithm Library
Self-Learning

Machine Learning

Deep Learning
Natural Language Processing (NLP)

Natural Language Generation

Business Intelligence
Multiple Language Support

Natural Language Processing

In-Database Text Analytics
Named Entity Recognition

Text Mining

Document Filtering
Taxonomy Classification
Text Analysis
Topic Clustering

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