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Description
ActiveData for Excel® enhances Microsoft Excel® by incorporating sophisticated data analysis functionalities along with efficient management features for workbooks and worksheets. With this powerful tool, users can perform a variety of actions on their data, such as joining, merging, matching, querying, summarizing, categorizing, and identifying duplicate or missing entries, as well as combining, splitting, splicing, and dissecting the data. The software boasts over 100 features, many of which are specifically tailored to boost user productivity within Excel. ActiveData for Excel provides an extensive array of functionalities at a significantly lower cost compared to other database-driven analytics and computer-assisted audit tools (CAATS), making it an attractive choice for users. The skills developed while using ActiveData translate seamlessly to other data analysis software like ACL and IDEA, ensuring versatility for users who may work with multiple platforms. This software is particularly user-friendly, catering well to those with less technical expertise, and is available in both Business and Professional editions, compatible with Microsoft Excel versions 2007 through 2019. Moreover, ActiveData for Excel is designed to complement existing data analysis tools, enhancing the overall workflow and efficiency of data management tasks.
Description
NodeXL serves as a versatile template for Microsoft® Excel® (versions 2007, 2010, 2013, and 2016) compatible with Windows operating systems (XP, Vista, 7, 8, and 10), allowing users to input a network edge list directly into a workbook and effortlessly generate a network graph with the click of a button, alongside a comprehensive summary report, all within the user-friendly Excel® interface. Users have the option to customize the graph's visual style, as well as zoom, scale, and pan for better viewing. It also enables the calculation of essential graph metrics, dynamic filtering of vertices and edges, and rearranging the graph's layout to enhance clarity. Additionally, users can identify clusters of interconnected vertices. By opting for NodeXL Pro, users can access a 12-month license that unlocks advanced features, including the calculation of sophisticated graph metrics and the ability to import and export graphs in various file formats. The software provides integration with major social networks like Twitter, Facebook, Flickr, YouTube, and others, facilitating seamless data collection from these platforms. Furthermore, it allows for the automation of network graph creation and collection processes. For those who utilize Excel® on Windows, NodeXL Basic is available for immediate download, while NodeXL Pro offers further enhancements for a more robust experience. This makes NodeXL an invaluable tool for anyone interested in analyzing and visualizing complex network relationships.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$129 one-time payment
Free Trial
Free Version
Pricing Details
$749 per year
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
Information Active
Founded
2003
Country
Canada
Website
www.informationactive.com
Vendor Details
Company Name
Social Media Research Foundation
Founded
2010
Country
United States
Website
www.nodexlgraphgallery.org
Product Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Product 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
