Kantwert: Networks of authority

27th May, 2015

  • 32 million business and political relationships analyzed and visualized using KeyLines and Neo4j
  • First KeyLines graphs produced after just two hours with the toolkit
  • A fully functioning KeyLines GUI built and released in one month
This example, showing a network of individuals and institutions, highlight’s the development team’s use of different link colors to communicate different characteristics of the data. Also note the layout options in the right-hand panel.

This case study explains how Kantwert has used the KeyLines toolkit to bring even greater clarity to their data, highlighting the connections between people of power and institutions.

Introduction

In business, understanding connections between people and institutions can be the key to success.

A clear picture of these networks of influence can provide marketers with connections to thought leaders, sales teams with a direct route to decision makers, compliance managers with more effective due diligence and researchers with a wealth of previously buried intelligence.

Kantwert GmbH, founded in April 2014, is leading the way in making this data available and navigable to whole new audiences. Their unique data analysis and visualization platform allows users to search and traverse networks of directors, politicians and institutions in Germany. The database uses rule-based logic to detail 32 million relationships between more than 3.3 million people.

This case study explains how Kantwert has used the KeyLines toolkit to bring even greater clarity to these networks, providing an intuitive way to interpret and navigate the complex connected data.

The Problem

The Kantwert team approached Cambridge Intelligence in January 2015. They already had a product with pilot customers, but were looking to upgrade the visualization component sitting at the heart of their GUI.

The existing visualization, which was built in-house, suffered from bugs and sluggish performance. In particular, the pilot customers had commented on the inefficient

automated layout and inability to move nodes around the chart. This limited their ability to find insight in the data.

At the back-end, the platform uses a Neo4j graph database to store and traverse the connections, plus a Cassandra database to store the content for each data point, so compatibility with these systems was essential.

The Requirements

The Kantwert team had identified a number of criteria for their visualization solution:

  • The ability to visualize complex connected data in a web browser
  • Compatibility with all modern browsers, including legacy browsers back to IE8
  • Full native support for the Neo4j graph database and Cypher queries
  • Full visual customization – e.g. chart branding, icon styles, node glyphs, etc
  • An effective force-directed automated layout
  • Draggable nodes and links
  • A customizable event model, to define behavior around interactions (e.g. double-click, right-click, etc).

As a start-up, Kantwert needed to make the most of their development resource. A visualization SDK, like KeyLines, would enable them to rapidly build a custom visualization solution without diverting too much development resource from enhancements being made to the Neo4j back-end.

The Project

Kantwert began their evaluation of KeyLines, plus one other SDK solution, in late January 2015.

In March 2015, before the 2-month evaluation period had even ended, the Kantwert team decided KeyLines was the solution for them. Petra Kaul, Kantwert’s Senior Manager of Business Development, explained why:

“From the beginning, KeyLines was the clear choice for us. After just a couple of hours of work we were able to see our first KeyLines network chart, and had a fully functioning GUI up and running in about a month.

Combining KeyLines with Neo4j was a great decision. It’s enabled us to build on the power of Cypher queries, so users can perform advanced searches and graph analysis with an intuitive KeyLines interface, and then present the results as an easy to read visualization.

Compared with all the other options, KeyLines was simpler, faster and resulted in a higher-quality product.”

The Result

Kantwert released the new version of their product, incorporating KeyLines, in April 2015 – just one month after choosing KeyLines as their visualization solution.

The use of KeyLines and Neo4j has created a fast, reliable application that makes networks transparent. As Petra Kaul concluded:

“The solution we have built with KeyLines is robust, good looking and highly performant. Our product works on a subscription basis, so it’s incredibly important our customers see the value in our platform and enjoy using it.

Our new front-end, built with KeyLines, helps us demonstrate our commitment to continually improving our product. We are proud to have a visualization that provides the functionality our customers want with the reliability they demand.”

Download the Case Study as a PDF

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