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Ratings and Reviews 0 Ratings
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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 NodeXL?
NodeXL acts as a multifunctional template compatible with Microsoft® Excel® (versions 2007, 2010, 2013, and 2016) and is designed for Windows operating systems, including XP, Vista, 7, 8, and 10, enabling users to easily input a network edge list into a workbook and generate a network graph with just a single click, alongside a detailed summary report, all within the familiar Excel® environment. Users can personalize the appearance of the graph and utilize features such as zooming, scaling, and panning for improved visualization. The tool also facilitates the computation of key graph metrics, dynamic filtering of both vertices and edges, and the reorganization of the graph layout to improve comprehensibility. Additionally, it allows for the identification of clusters of closely connected vertices, enhancing analytical capabilities. By upgrading to NodeXL Pro, users can benefit from a 12-month license that provides access to advanced features, such as the ability to calculate complex graph metrics and import or export graphs in various formats. The software integrates seamlessly with popular social media platforms like Twitter, Facebook, Flickr, and YouTube, making it easier to gather data from these sources. It also allows for automation in the processes of creating and collecting network graphs. For individuals who use Excel® on Windows, NodeXL Basic is readily available for download, while NodeXL Pro offers even more sophisticated features for an enhanced analytical experience. Ultimately, NodeXL proves to be an essential resource for anyone looking to delve into the analysis and visualization of intricate network relationships, making it a must-have tool for researchers and analysts alike.
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
JMP Statistical Software
Microsoft Azure
Red Hat OpenShift
SAS Viya
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
JMP Statistical Software
Microsoft Azure
Red Hat OpenShift
SAS Viya
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$749 per year
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
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/en_us/software/visual-analytics.html
Company Facts
Organization Name
Social Media Research Foundation
Date Founded
2010
Company Location
United States
Company Website
www.nodexlgraphgallery.org
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
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