A dimension is a structure that categorizes data in order to enable users to answer business questions. By using Dimensions on Insia, you can analyze your metrics and understand which element adds maximum value to your overall metrics.
Dimensions are denoted with a unique symbol (ABC) on the search bar:
Look at the red-outlined box in this image
Here's another example:
Note: Find all the available Dimensions available to you on the platform with short descriptions and a GIF showing how to use it in the search bar. Click the following link to access the page:
Watch a video explaining how to use a KPI and a Dimension on the search bar
Working with multiple Dimensions:
Working with multiple dimensions on Insia is easy. Simple type the desired Dimension on Insia and keep adding as many Dimensions one after the other.
Consider this example: if you want to find data on your spending by different Vendors and categories, you would type - 'Spend' and then cut it by 'Vendor' and 'Category Level 1'. Where 'Spend' is a metric and 'Vendor' and 'Category Level 1' are the dimensions. This command, groups the Spend based on Vendor first and then groups the Spend of each Vendor based on Category level 1.
Please note: 'Spend', 'Vendor', and 'Category Level 1' are not preset by the platform but are picked up from your data. If you call 'Spend' as 'Expense' then 'Expense' is what will show up on the search bar. You can set synonyms as well. Read the following article to 'learn how to set synonyms on INSIA' .
Here's another example of how to use Dimensions on INSIA:
The data loaded here is of IMDB Alltime Boxoffice movies.
If you'd like to use the same dataset, go ahead and download it here:
Using Dimension with Filters
On INSIA, you can apply both filter and dimension to a Metric. Filters help you narrow down the search result as per your need. Dimensions help you to break data into meaningful columns for detailed analyses. This way you can slice your data to an extreme degree. It gives an unadulterated view of your data.
To perform this analysis:
First, choose the metric, and add filter value to it
After applying the filter, use dimensions as per need to get the required information. Check out the example below.
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