Introduction
Getting started with Travel Eye's analytics features
Last updated
Getting started with Travel Eye's analytics features
Last updated
Travel Eye has a powerful analytics feature that allows you to visualize your organization's data and build custom dashboards.
Head over to the tutorial to learn how to build your first dashboard.
Analytics TutorialThe analytics page is powered by a separate data warehouse, where data from various sources is consolidated, transformed and prepared for analytical processing (OLAP).
This data transfer does not happen in real time, and it may take up to several hours before new and updated data becomes visible on the analytics page.
The data warehouse respects your selected data retention period and deletes old data daily.
A vital aspect here is the distinction between operational and analytical data.
The operational data used by Travel Eye always reflects the current state. Changes to operational data are visible immediately (e.g. on the Travel Monitor page), but the ability to explore historical data is very limited.
In contrast, the data warehouse is not updated in real time, but it keeps the full change history of each record and allows users to view historical data.
For example, this is what happens when a person gets deleted from Travel Eye:
The person and all associated data (user profile, favourites, bookings, etc.) is immediately deleted from the main database of Travel Eye.
As a result, the person is no longer visible in the Travel Monitor or the user list in the IAM.
However, the data is still kept in the data warehouse until the retention period for the records has expired.
Analytical data in Travel Eye is organized in OLAP cubes, which consist of measures and dimensions.
Measures are the quantitative, numerical data that can be calculated and aggregated. They represent observations about the data such as the number of users or the number of alerts.
Dimensions on the other hand are categorical data (i.e. properties/attributes) that describe the measurements, e.g. country risk level, event category, alert type, etc.
