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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Automatic Grapher is a software solution designed to effortlessly create graphs from your data without requiring any prior database knowledge. You can easily transfer your information from Microsoft Excel and utilize eight distinct graph types. After importing your data, you can swiftly generate statistics, graphs, and reports. With just a single click, graphs can be exported to various formats, including jpg, Word, or PDF files. This tool significantly reduces the time spent compared to traditional methods using Microsoft Excel and Access for graph creation and updates. It offers a user-friendly data management system that allows you to consolidate data from various sources through multiple import options using Excel spreadsheets. Additionally, it enhances data integrity by identifying outliers or errors, enabling you to perform thorough analyses with statistics and visualizations. The results can be exported in formats such as PDF, jpg, or Excel files, and you can manage an unlimited number of databases for different projects. Streamline your data management processes and enhance your productivity with Automatic Grapher!

Description

Streamlined distributed computing significantly enhances graph-analytics performance without requiring extensive infrastructure changes. By incorporating a broader variety of data for standardization and visualization on the graph, insights can be significantly strengthened. The combination of advancements in both graph and deep learning results in efficiencies that facilitate prompt insights on the largest graphs in existence. Katana Graph equips Financial Services firms with the tools to tap into the vast possibilities offered by graph analytics and AI at scale, enabling everything from real-time fraud detection to comprehensive customer insights. Leveraging breakthroughs in high-performance parallel computing (HPC), Katana Graph’s intelligent platform evaluates risks and uncovers customer insights from massive data sets using rapid analytics and AI capabilities that surpass those of alternative graph technologies. This transformative approach allows organizations to stay ahead of trends and make data-driven decisions with confidence.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$99 per license
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Dataview Software

Founded

1994

Country

United States

Website

www.automaticgrapher.com

Vendor Details

Company Name

Katana Graph

Founded

2020

Country

United States

Website

katanagraph.com

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

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