Скачать или смотреть Webinar: Data Visualization Techniques from Fraud Detection to Supply Chain Optimization

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Discover seven powerful data visualization techniques with Tom Sawyer Perspectives.
In this live webinar, Dr. Janet Six, Senior Product Manager at Tom Sawyer Software, demonstrates how to connect multiple data sources, build interactive dashboards, and uncover hidden relationships in complex data. Learn how enterprises apply graph visualization for fraud detection, supply chain optimization, and better decision-making.

What You’ll Learn
How to integrate multiple data sources into a single unified graph model.
How to use the seven visualization views: drawings, tables, trees, inspectors, timelines, charts, and maps.
How to apply filters and synchronization across different views.
How to add a search for faster data exploration.
How to build dashboards with the view layout feature.

Real-World Use Cases
Fraud detection and financial investigation
Supply chain and logistics optimization
IT and organizational network management
Project and task dependency analysis
Social and crime network analytics

Key Capabilities of Tom Sawyer Perspectives
Low-code SDK for building graph visualization and analysis applications
Federation of data from SQL, RDF, Graph DBs, REST APIs, JSON, and Excel
Advanced layouts: orthogonal, hierarchical, circular, bundled, and more
Multi-view dashboards with synchronized graphs, trees, tables, inspectors, and maps
Deployable locally or in the cloud (Docker, Kubernetes, AWS)

💬 Do you have questions or want to share how you use graph data? Drop a comment below to start the conversation!

Resources:
Website: https://www.tomsawyer.com
Documentation: https://support.tomsawyer.com/documen...
LinkedIn:   / tom-sawyer-software  

#TomSawyerSoftware #DataVisualization #GraphVisualization #GraphAnalytics #ActionableInsights #LowCode #ComplexData #digitaltransformation

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Timestamps:
0:00 – Introduction
0:16 – What Is Tom Sawyer Perspectives?
1:00 – Connecting to Data Sources (SQL, Graph DB, REST, Excel)
2:20 – Seven Data Visualization Views Overview
3:50 – Crime Network Example
6:00 – Drawing Views and Layout Styles
9:00 – Nested Drawings and Backbone Analysis
11:00 – Fraud Detection Demonstration
14:30 – Advanced Layouts and Connectors
15:50 – Inspector View for Attributes and Editing
16:30 – Tree View for Commodity Flow Analysis
19:00 – Table View for Organizational Data
20:10 – Chart Views for Summarizing Insights
22:00 – Map Views (Tom Sawyer Maps, OpenLayers, Google Maps)
25:50 – Timeline View for Data Over Time
30:00 – Adding Search to Visualization Applications
37:00 – Using Invocable Dialogs for Details
39:30 – Updating Dashboards with View Layouts
40:45 – Wrap-Up and Next Steps