Skip to main content
Relationships are a way to link data from different tables for analysis. A relationship shows how two tables are connected by common fields, but it doesn’t merge them into one. When tables are linked by a relationship, they stay separate and keep their own details and information. ![data relationships in Anlytic]

​
Learning objectives

  1. Understand relationships
  2. Create data relationships
  3. Edit data relationships

​
What is the benefit of creating relationships between data?

To understand the benefits of creating relationships, let’s take a look at an example. When you use a filter to filter any data, underneath the filters there are data columns connected. Now, imagine you have two data tables called ‘employee’ and ‘country’. The employee table has a column ‘country_id’ that contains the same values as the country table’s column called ‘id’. The country table also has a column called ‘name’. Now, if you want to filter the employees by country, how do you do it? You create a filter and then create a field. There you select country name. Now you connect the field to the column called country.name. If you are doing a query where you need to filter the employee on country. You know you have a filter field set to country name but how do you know that the employees table is connected to country. That is why you need to create a relationship, that shows you the connection between the data. In next page we are going to walk you through, how you can create data relationships in Anlytic platform.
Last modified on March 6, 2026