Name: graphext
Author: GRAPHEXT LABS

Help Desk

Web and Video Conferencing

Customer Support

AI Chatbot

Development

Attendance Tracking

Career Center

Education

Association Management

Business Intelligence (BI)

Case Management

Collaboration

File Sharing

File Sync

Objectives and Key Results (OKR)

Office Suites

Unified Communications as a Service (UCaaS)

Enterprise

Accounting

FinTech

Online Trading

SaaS Spend Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Performance Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Asset Tokenization

Business Internet Service Providers (ISPs)

Cloud Storage

Container Management

Debugging

Disaster Recovery as a Service (DRaaS)

Dynamic Application Security Testing (DAST)

Fraud Detection

In-Memory Databases

Incident Response

Integrated Development Environment (IDE)

Integration Platform as a Service (iPaaS)

Intranet

Managed Private Cloud

Managed Security Service

Modular Storage Area Network (SAN)

Network Function Virtualization (NFV)

Network Performance Monitoring

Runtime Application Self-Protection

SSL Certificate

Secure Web Gateway

Threat Hunting

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Email Marketing

Marketing Automation

Personalization Engines

Product Management

Sales and Marketing Automation

Social Media Management

Survey & Forms Building

Technology Review

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Forecasting

Sales Pipeline

Sales

Microsegmentation

Security Information and Event Management (SIEM)

Security

Automotive

Building Information Modeling (BIM)

Catering

Law Practice Management

Legal Research

Tour Operator

Vertical-Specific

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Graphext is a data analytics platform that allows users to explore, analyze, and visualize complex datasets. According to the vendor, the platform provides a user-friendly interface and a wide range of advanced analytics features. It caters to businesses of all sizes, including small startups and large enterprises. Professionals in various industries, such as business analysts, data scientists, marketing professionals, market researchers, and social media managers, rely on Graphext to gain valuable insights from their data.

## Key Features

**Data Exploration and Visualization**: Graphext enables users to explore and visualize complex datasets through an intuitive interface. They can navigate through data, filter and sort variables, and create interactive visualizations to gain insights.

**Advanced Analytics**: According to the vendor, Graphext offers advanced analytics features, including text analysis, network analysis, predictive modeling, and market basket analysis. Users can leverage these tools to uncover patterns, relationships, and trends in their data.

**Text Analysis**: Graphext provides text analysis capabilities for extracting language attributes from text data, such as sentiment, significant terms, and adjectives. This allows for a deeper understanding and analysis of customer feedback, reviews, social media posts, and more.

**Network Analysis**: With Graphext, users can analyze and visualize network data, such as social networks or organizational structures. They can identify key influencers, detect communities, measure centrality, and explore relationships between entities.

**Predictive Modeling**: The platform allows users to build and deploy machine learning models without coding. They can train models, evaluate their performance, and make predictions to support data-driven decision-making.

**Market Basket Analysis**: According to the vendor, Graphext's market basket analysis feature enables users to discover associations and relationships between products or services based on customer transaction data. This helps businesses optimize marketing campaigns, improve product recommendations, and enhance customer satisfaction.

**Data Enrichment**: Graphext offers data enrichment capabilities by integrating additional information from external sources. This can include demographic data, geographic data, or any other relevant data that enhances the analysis and understanding of the dataset.

**Collaboration and Sharing**: According to the vendor, Graphext provides collaboration features that allow users to easily share their analysis, visualizations, and insights with team members or clients. Users can collaborate in real-time, leave comments, and export their findings for reporting or presentation purposes.

**Integration and Deployment**: Graphext seamlessly integrates with various data sources, such as databases, cloud storage, and data warehouses. Users can connect their data sources to Graphext for easy data ingestion and analysis. The platform also supports the deployment of models and analysis results into existing systems or workflows.

Free

Professional

Rational BI

Data Viewer OnPrem

Data Viewer OnPrem Enterprise Edition

Data Viewer Online

Data Viewer Online Enterprise Edition

Lightning Tools Data Viewer

graphext

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Data Discovery and Visualization

GRAPHEXT LABS

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

Location Analytics / Geographic Visualization

Location analytics is the visualization of geographical or spatial data.

Predictive Analytics

Predictive Analytics is the ability to build forecasting models based on existing data sets.

Support for Machine Learning models

Machine learning refers to computer programs that can learn when exposed to new data.

Pattern Recognition and Data Mining

Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

Integration with R or other statistical packages

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

Customizable dashboards

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Report Formatting Templates

Pixel Perfect reports

Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

Formatting capabilities

Ability to format output e.g. conditional formatting, lines, headers, footers.

Predictive modeling

Predictive modeling is the ability to build future forecasting models.

Integration with the open-source R predictive modeling environment.

Report sharing and collaboration

Report sharing and collaboration is the ability to easily share reports with others.

Report Output and Scheduling

Ability to schedule and manager report output.

Publish to Web

Publish to PDF

Output Raw Supporting Data

Report Versioning

Report versioning is the assignment of version numbers to each version of a report to help in tracking.

Report Delivery Scheduling

Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

Delivery to Remote Servers

Ability to deliver reports to remote servers

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graphext

Overview

What is graphext?