Utilizing ClickFox's tried-and-true Journey Architecture (JA) methodology with Fox Build enables the business to create layered journey views that are easily understood without writing a line of code. The outcome is clean, contextualized, data for analysts and data scientists that contains the common language spoken by the Enterprise.
Let your data confirm if your journey maps resemble what is actually happening. Data experts and analysts are enabled to leverage ClickFox's proprietary Journey Transformation Language (JTL), built from a decade of Journey Analytics experience from a user interface.
Connecting data into journeys has never been easier and requires very little, if any, ETL work, especially if your event data is already in a data warehouse.
Quickly ingest the data sources you already have available by mapping columnar data into events with a header file through a simple user interface.
Because events contain attributes about them (like time, name, or location), merging sequenced events into re-usable sessions is more powerful than data blending.
Data blended together is just another copy of rows and columns. When events from multiple channels are merged together, in sequence, investigating the how, when and where something happens with the context surrounding the events becomes possible.
Any type of event that has a timestamp, from multiple data sources and channels can be sequenced into the same journey using the proprietary ClickFoxcommon session object for re-use throughout Fox.
It's often said that analysis is 80% data preparation and 20% analytics. Not so for ClickFox clients. Data is ingested as often as it is received, enabling rapid test and learn.
All Fox Visualizations, Journeys, Paths and Journey Datasets dynamically present any available data, at any time.