Case Study: Logtrust democratizes real-time big data analytics with Cambridge Intelligence KeyLines

A Cambridge Intelligence Case Study

Preview of the Logtrust Case Study

How Logtrust empowers analysts to harness the connections in their big data, with the help of the KeyLines toolkit

Logtrust, a real-time big data-in-motion platform, needed a graph visualization tool to help analysts move beyond tabular data and dashboards and quickly understand connections, structure, and patterns across many data sources. The company evaluated several technologies before choosing Cambridge Intelligence’s KeyLines toolkit, primarily for its performance, WebGL support, functionality, and documentation.

Using Cambridge Intelligence’s KeyLines, Logtrust built an interactive graph visualization app with drag-and-drop model building, visual styling, advanced analysis, filtering, sharing, and even geospatial mapping. The result became a major “wow” moment in the platform, with customers reporting that it helped uncover incidents that might otherwise have gone undiscovered, while also expanding Logtrust’s real-time analytics capabilities.


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Logtrust

Eliseo Martinez

Data Visualization Engineer


Cambridge Intelligence

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