Data visualization resource hub

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reports and articles


Articles

Articles

Graph analytics 101: reveal the story behind your data

Graph analytics essentials: what they are, why they’re important, and how they provide a deeper understanding of graph visualizations.

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Articles

Articles

Getting started with ReGraph, our React toolkit

Want to get started with ReGraph, the graph visualization toolkit for React? This step-by-step tutorial covers everything you need to know.

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Articles

Articles

Enhance your dashboard design with data visualization

Build a tool that’ll improve your dashboards. We’ll use our data visualization SDKs to create a slick visual network & timeline analysis application.

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Articles

Articles

Dynamic network visualization methods explored

Let’s explore the most popular dynamic network visualization methods, and how our data visualization toolkits handle time-based data.

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Articles

Articles

Visual network analysis dashboards that work

Let’s explore how visual network analysis tools complement dashboards, adding context, interactivity and insight into links and connections.

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Articles

Articles

Adding a data visualization component to increase ROI by 10%

We present a simple method for calculating the return on investment (ROI) of adding a data visualization component to your web application.

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Articles

Articles

Designing simple visual models that users love

Want to create visual models that deliver the best user experience (UX)? You’ll see how keeping things simple in is the key to success.

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Articles

Articles

Data cleansing with graph visualization

The first step in the data cleansing process is understanding where data quality issues exist. We explore some common quality issues, using real datasets.

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Articles

Articles

Choosing a graph visualization partner

We look at three high-level questions you should consider when choosing a graph visualization partner, to make sure they’re up to scratch.

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Articles

Articles

AI and data visualization: Powering the intelligence cycle

Artificial intelligence is changing the way organizations think about data analysis. Learn how data visualization and AI can do a lot of the heavy lifting for analysts and investigators working with connected data.

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Articles

Articles

A product manager’s guide to data visualization options

Let’s explore your data visualization options and the wider implications of your decision for the product and your stakeholders as a product manager.

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Articles

Articles

6 successful organizations and why they chose our technology

Six of our successful customers explain how our data visualization SDKs made their complex data investigation and analysis tools more effective.

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Articles

Articles

Automatic graph layouts

Take a tour of the automatic graph layouts and force-directed layouts that our customers use to make sense of their complex connected data.

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Articles

Articles

6 link analysis techniques every investigator should know

Find out which link analysis techniques would work the best for your industry? We look at 6 popular ways to improve investigative workflows.

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Articles

Articles

5 reasons React developers love ReGraph

This post gives practical tips to developers using ReGraph, our graph visualization SDK for React, on how to avoid common coding issues.

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Articles

Articles

5 popular use cases for KronoGraph timeline analysis

Want to add rich, interactive timelines to your investigative apps? Check out the top 5 use cases for timeline analysis using KronoGraph.

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Articles

Articles

Graph visualization: dealing with starbursts

A starburst is when one heavily connected node dominates your graph visualization. We talk through practical techniques for keeping them out of your charts.

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Articles

Articles

Graph visualization: see through the snowstorm

Discover how to eliminate the ‘snowstorm’ effect in data visualizations with data enrichment, aggregation, and entity resolution for clearer insights.

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Articles

Articles

Graph visualization: fixing data hairballs

How to avoid ‘the hairball’ – showing connections that are so dense, they can’t be usefully visualized. It’s a problem that affects many large datasets.

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Articles

Articles

Five steps to tackle big graph data visualization

A step-by-step guide to big graph data visualization, showing how to bring millions of connected nodes and links down to a human-friendly scale.

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