Case Study: DataFoxtrot achieves success analyzing graph data outliers with Neo4j

A Neo4j Case Study

Preview of the DataFoxtrot Case Study

DataFoxtrot - Customer Case Study

DataFoxtrot, led by President Karl Urich, needed a way to analyze Wikipedia data for a problem that combined spatial and graph analysis, with a focus on identifying data outliers. To tackle this, DataFoxtrot turned to Neo4j, using its graph database technology as part of the project.

Neo4j provided a purpose-built tool that was easy to use, integrate, and support, helping DataFoxtrot quickly experiment and work with relationship-based data. The result was a successful outlier-analysis project that Karl described as “fabulous,” with Neo4j enabling faster experimentation and effective graph analysis.


Open case study document...

DataFoxtrot

Karl Urich

President


Neo4j

166 Case Studies