Creating Looks (and Working with Explores)
To create a new Look in Customer Insights, you start with an Explore, and then save that Explore as a Look.
Directory-Derived Data vs. Event-Derived Data
Why is CI 2.1 more accurate than its predecessor? The answer lies in the difference between event-driven data and directory-derived data.
Adding Attributes to Customer Insights
You now have the ability to access any attribute from any of your entity type schemas. Here's how.
The Explore Options Icon
Each Explore includes a Options icon located in the right-hand corner of the Explore window. These Options are described in detail here.
Dimensions return specific fields from specific tables. They are used to determine the information you want your query to bring back.
The default Explores that ship with Customer Insights all include the Count measure, and you can create your own measures by adding table calculations to a query.
In addition to filtering on more than one dimension at a time in Customer Insights, you can also filter on more than one filter value.
Pivot tables provide an additional way of grouping data. Pivots are easy to add in Customer Insights.
Adding Row and Column Totals
One useful way to supplement data in tables is to add row and column totals. Here's how.
Adding Table Calculations
Table calculations provide a way for you to add custom measures to a data table (and, by extension, to a visualization).
Modifying Row and Column Limits
It's easy to limit the number of records (rows) returned by a query. As a result, this limits the number of columns displayed in the associated visualization.
Selecting a Visualization
When you create a new Explore, the column chart icon is selected by default; however, you can change the visualization type at any time just by clicking a different icon.