Once all event data is connected into journeys using Fox Build, the Explore module provides analysts with the tools necessary for advanced journey analytics and visualization without requiring a deep technical skill set. Connected journeys reveal the meaningful shape of boring big data. Fox Explore:
The Fox Explore module is for business users with an emphasis on great User Experience
and quickly surfacing insights from data connected into journeys.
Journey specific visualizations guide analysts through their discovery and hyphothesis phase and quickly poinpoint optimization opportunities
The Traffic View is a dynamic, data driven, Journey Map for quick visualization that exposes all of the connections between events
The Dynamic Journey Map view automatically shows all path variations from or between specified events, illuminating anomolies problem areas
Fox Explore enables pattern analysis from the connected sequential events found in Big Data,
empowering analysts to probe deep into where a given entity (customers, patients, devices, etc.) entered, departed and completed any specified path.
Robust Path Analytics capabilities put the power of the proprietary ClickFox Path Processor algorithms in analysts hands from the user interface.
The ability for business users to define and categorize the journeys an entity takes is fundamental for Journey Analytics. Most companies have roughly 15 core journeys.
Fox Path creation capabilities allow anlysts to codify these journeys, along with their ~75 sub-classifcations, creating a common language across the enteprise.
Define specific Paths for analysis with event sequencing or filtering through a business user interface. These Path & Filter parameters create metadata used as input in all Fox capabilites.
The charge to surface insights quickly and experience have led to several canned summary views that quickly expose answers to questions routinely seen in journey analysis.
The Dynamic nature of these summaries means they're automatically available on any dataset being analyzed.
Summary View examples: