AIQ Data is an analytics platform built specifically for travel and expense management. It connects to your organization’s travel and expense data, including corporate card transactions, airline bookings, hotel stays, and expense reports, and turns that data into clear, actionable dashboards your team can use every day.
What AIQ Data helps you do
- Monitor and track total T&E spend across your organization
- Identify spending trends and patterns over time
- Make data-driven decisions about future travel and expenses
- Have focused conversations with team members about expense behaviors
- Ensure compliance with your organization's travel and expense policies
Who is this guide for?
This guide is intended for:
- Users Who Can Create – Build, edit, and customize dashboards to analyze data
- Company Admins – Manage user access, settings, and overall platform configuration
Note: Data in AIQ is refreshed on a scheduled basis. The refresh frequency depends on your organization's configuration. For details on your data refresh schedule, contact your system administrator.
Icon Legend
These are the icons you will see throughout the AIQ Data interface. Use this as a quick reference whenever you are unsure what an icon does.
| Icon | Name | What It Does |
|---|---|---|
| Home | Opens the main navigation menu. Use this to access categories, admin settings, or account options. | |
| Navigation Menu | Access key actions, including admin features, dashboard categories, and account settings. | |
| Global Filter | Enters edit mode for a dashboard or widget. | |
| Theme Settings | Customizes the interface appearance, including text and dashboard colors. | |
| Widget Icons | ||
| Icon | Name | What It Does |
| View Table | Opens the data table for a detailed view of the dashboard data. | |
| Multi-Drill | Enables drilling into multiple dimensions for deeper data analysis. | |
| Save Grid State | Saves your current table layout, including column order, filters, and sorting, for future use. | |
| Conditions | Applies color rules to values so you can quickly spot high, low, or mid-range data. | |
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