When analyzing your data, it is beneficial to consolidate data from different sources. Want to group revenue by acquisition source, linking data from your orders table and Google Analytics? Or how about grouping revenue by customer gender, or joining a customer attribute to transaction data for segmentation?
This guide will teach you how to do just that. Before getting started, we recommend you check out the Calculated Column Types guide. The Calculated Column Types Guide outlines the types of columns you can create in the Data Warehouse Manager, along with their definitions and examples.
- To get started, click Manage Data > Data Warehouse in the sidebar.
- Click the table you want to create a column in. For example, if we wanted to create a Customer Gender column for revenue segmentation, we'd select the orders table.
- The table scheme will display. Click the Create a Column button.
- Give your column a name - for example, Customer Gender.
- Select the definition for the column. This is where the Calculated Column Types guide will come in handy!
- For certain types of columns, a little more info is needed to properly create the column:
If you're creating a joined or aggregate column (ie: columns based on one-to-many or many-to-many relationships), you'll need to select a pathway to connect the two tables. In this step, you can either use an existing path or create a new one.
- For joined and aggregate columns, you'll need to select the tables and columns.
- For an age calculation, you'll need to select the desired date field from the dropdown menu.
Remember to properly define the table as either many or one!
If desired, you can apply filters to the new column.
When finished, click the Save button.
That's it! Your new column will appear in the current table with a Pending status. After the next update completes, your column will be available for use in metrics and reports.
Handy reference map
If you're having a little trouble remembering what all the inputs are when creating a calculated column, try keeping this reference map handy when you're building:
Click for a closer look!