6th August, 2018 Estimated reading time 3–4 minutes
Earlier this year we joined forces with the students of Cambridge Academy for Science and Technology, and Etrust to help inspire the next generation of software developers.
25th June, 2018 Estimated reading time 3–4 minutes
With the World Cup in full swing, we thought it would be fun to visualize it using KeyLines. See what we came up with!
18th June, 2018 Estimated reading time 2–3 minutes
Last week we celebrated our seventh birthday by channeling our inner James Bonds.
18th May, 2018 Estimated reading time 4–6 minutes
Discover the value of graph visualization and why it should be a core part of your web application – it’s not just pretty pictures.
15th May, 2018 Estimated reading time 6–10 minutes
We show you how graph visualization can help you achieve Customer 360 – a unified picture of your customers, to better understand them and to predict their future behaviors.
8th May, 2018 Estimated reading time 5–8 minutes
In this FAQ post, we take a closer look at the time bar improvements, introduced in the KeyLines 4.2 release, and how they can help you visualize and explore your dynamic graph data more accurately.
2nd April, 2018 Estimated reading time 5–8 minutes
In this post we give you tips on building a KeyLines app that as many people can benefit from as possible. We also introduce you to the KeyLines keyboard shortcuts.
19th March, 2018 Estimated reading time 5–8 minutes
In this blog post we look at two scenarios to show you how your users can enhance their data analysis and understanding with combos – our powerful node-grouping functionality.
12th March, 2018 Estimated reading time 4–7 minutes
In this blog post, we’ll show you how graph visualization can make alert detection and investigation more effective, and help you gain a clearer understanding of your infrastructure.
5th March, 2018 Estimated reading time 5–8 minutes
In this post we demonstrate why network visualization should be part of your fraud detection workflow. We show how integrating KeyLines can help you make sense of large and complex fraud datasets.