Data Visualization

Effective data visualization delivers key insights to stakeholders and decision makers.

What is data visualization?

Data visualizations are graphical depictions of information and data presented in a variety of formats tailored for industry-specific needs. Data visualization formats include drawings, charts, tables, maps, and more. 

Data visualizations can be static or they can dynamically change as the underlying data changes. They also can be interactive.

Often, multiple data visualizations are combined into an organized dashboard to aid analysis and communication of key findings to stakeholders and decision makers.

Common types of visualization techniques

Common types of data visualization techniques. 

Data visualization challenges faced by enterprises

As data grows larger and more complex, enterprises struggle to find effective techniques for understanding their data to identify actionable intelligence and communicate results in a clear way. They rely on Business Intelligence (BI) tools to provide that insight. But these tools often lack the depth and key capabilities for enterprises to truly benefit from their data. 

Enterprises need to find the key elements and patterns in their data. They need flexibility to explore related data. And they require the ability to usefully organize and visualize the findings. Only then are they free to determine the implications of that information.

With effective data visualizations, enterprises are able to discover and act upon insights to optimize the performance of their systems, reduce vulnerabilities, and create strategies to reach objectives.

Synchronized data visualizations support the discovery of actionable insights

Synchronized data visualizations support the discovery of actionable insights.

Example microwave network application showing device load and capacity
Example microwave network application showing device load and capacity.
 
Example graph application showing a criminal network

Example graph application showing a criminal network.

Graph and data visualization best practices

Graph and data visualization can be daunting if you are new to the concept and thinking about including data visualizations as part of your digital transformation or data analysis initiative.

There are a number of aspects you should consider as you start down this path:

  • What is the best and most intuitive way to visually and graphically represent your data?

  • Is there a common mental image shared by the people who will be looking at the visualization? 

  • What do users want to gain from the data visualizations?

  • Are there additional tools or information to help users draw meaningful conclusions from the visualizations?

We help our customers navigate these questions and more, nearly every day.

Graphics Specialized for Your Graph Data Application

Perspectives is optimized with high-speed graphics capabilities and HTML5 canvas graphics to create the best in class graph visualizations for your application.  You can use Perspectives HTML classes embed the visualization components into your web application and when the HTML class is assigned to any HTML tag, such as <span> or <div>, the tag will be interpreted as a component, regardless of its type. 

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Drive decision-making with Tom Sawyer Perspectives data visualization software

The Perspectives graph platform meets data visualization challenges with its suite of powerful, customizable, and interactive data visualization capabilities that have graph technology at their core.

Perspectives is a low-code application development platform that incorporates our decades of experience in solving complex graph and data visualization problems for enterprises across a variety of industries. Using Perspectives, developers can build custom graph visualization and analysis applications to meet their unique use cases.

Perspectives is highly performant for complex, big data. It includes:

  • Seven data visualization view types

  • Synchronized interaction across views

  • Model-, data-, or rule-driven views

  • Data edit and update tools

  • Intuitive dashboard layout design tool

An example computer network management application built with Perspectives

An example computer network management application built with Perspectives.

Learn how advanced graph visualization and data analysis techniques support the discovery of financial fraud.

Interact with your data with customizable data visualizations

Perspectives includes customizable data visualization view types that enable interactions with your graph data. When designing your custom application using Perspectives, you configure the view types that support your use case. All views are synchronized, enabling end users of your application to stay oriented within the data. 

Perspectives data visualizations enable your users to explore, peer into the past, see how information evolved, and more. 

Drawing Views

Drawing views contain interactive visualizations of nodes, edges, connectors, edge decorations, labels, swimlanes, swimlane pools, and nested drawings. Drawing views support automated layout, link navigation, analysis, selection, zooming, scrolling, editing, and many other interactions.

Drawing data visualization views

Map Views

Map views show geospatial information for the data elements. Supported environments include Tom Sawyer Maps for tightly integrated graph visualizations; OpenLayers for OpenStreetMaps, Apple Maps, and Mapbox compatibility; and Google Maps.

Map data visualization views

Table Views

Table views represent graph data in a tabular format with each row representing a model element and each column representing attributes of that element.

Table data visualization views

Chart Views

Chart views display information in the form of graphs or diagrams. Supported chart view types include: area chart, area spline chart, bar chart, column chart, line graph, pie chart, and spline chart visualizations for graphs.

Chart data visualization views

Tree Views

Tree views show model elements with an interactive, collapsible hierarchical tree structure.

Tree data visualization views

Timeline Views

Timeline views reveal how data changes over time. This view type supports visualization of data elements being added or deleted, or a snapshot of data for a specific period of time.

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Inspector Views

Inspector views reveal the attribute details for an element that is selected in a different view. The choice of which attributes to show can be static, dynamic at runtime, or schema-defined.

Inspector data visualization views

Flexible view configuration options

When designing your application, Perspectives provides ultimate flexibility in what data to show and how to present it. You can customize data visualization views using model-, data-, and rule-based view definitions.

Sign up and explore our Microwave Network example application built with Perspectives. It showcases the power of run-time, data-driven rules with its edge color and thickness showing device capacity and load.

Use Perspectives to customize your views:

  • Select the part of the data model that you want to work with.

  • Define rules for how to display the information.

  • Define run-time behaviors of your views based on data attributes.

For each view in your application, you select the relevant domain, which is a collection of model elements with filter-style conditions. Choose from the set of all nodes, set of all edges, and a domain for each model element type.

View domain options in Perspectives

View domain options in Perspectives.

Enable exploration of data

Empower end users of your applications with capabilities to explore their data visualizations to maximize insights. 

Expose filter controls and enable search in your end-user application.

Filters

Filters define the part of a model to be considered by integrators and views. 

Filters

 

Search

The search functionality lets users search for model elements in one or more views.

Search

 

Create powerful data visualization dashboard layouts with Perspectives

With Perspectives, you can design modern, effective dashboard-style layouts of your data visualizations in minutes. The intuitive, drag-and-drop interface allows you to quickly assemble a dashboard of views for your Perspectives end-user application. Add any number of views, in nearly any configuration. Add split panels and tab panels, and control their relative size.

The Perspectives view layout editor

The Perspectives view layout editor.

 

Try these hands-on, interactive data visualization applications

Built using Tom Sawyer Perspectives, these example applications show the art of the possible. Sign up and explore.
Graph visualization of a criminal network

Crime Network

Identify fraud. Find connections. Bust bad guys. This application uses social network analysis algorithms you can use to predict patterns and make accurate and strategic decisions.

 

Graph visualization showing the connections and load between microwave transmitters in a network.

Microwave Network

Manage the base transceiver station devices and antennas of a microwave transmission network. Observe edge colors and thickness to determine connection loads and capacity as you run Shortest Path analysis to find the fastest communication routes.

 

Geographical map showing locations of devices in a computer network of a global retail chain

Retail Network

Follow the support tickets of the biggest shopping malls in the world. Understand the relationships between retail and corporate locations, and view the computer networks for individual outlets. See sales by square foot, open support tickets by store, and more.

 

Perspectives provides so much more than data visualization

Curious to learn more about data federation and integration with Perspectives? Or learn about all the amazing graph capabilities? See these resources to learn more.

Data Integration

Learn how Perspectives data federation and integration helps you uncover important information in your data silos for improved decision-making.

Graph Analysis

Learn how graph analysis applies data-driven techniques that can help you discover actionable information hidden in your connected data.

Graph Layout

Learn how graph layout provides a clear picture of complex data, saves time, and can say much more than a thousand words.

Graph Visualization

Learn how powerful graph visualization techniques can provide context to your data and enable meaningful analysis.

Integrate with third-party components using RESTful APIs

When integrating your Perspectives-built application with third-party components, you can use RESTful APIs to access model elements.

A REST view exposes the methods for easy access.

Exposed RESTful APIs

Exposed RESTful APIs.

Start your data visualization journey today

Contact us for a demonstration and to learn how to apply graph methods and data visualizations to solve your big data challenges.