How to export data studio templates for another account

How to export data studio templates for another account

If you are trying to access data in a rush, creating an export using a blueprint would allow you to easily pick a predefined export definition of best practice (without having to think about the crisp specifics of an export definition), optionally make small adjustments to it and save it as a new export definition.

Google Data Studio gives us the opportunity to make beautiful, informative reports (free of charge!). The most recent releases featured influential features such as data mixing, group connectors, and enhanced computed field interfaces.

Any new feature and upgrade makes it easy to create a report that you need, but sharing these reports with others can be a little frustrating. If you've ever created a report in Data Studio and shared it with a coworker with any (or all) of the visualizations to make a mistake, you're not alone!

In this article, we discuss how Data Studio manages data versus reports and how to effectively exchange these two elements.

Note: While you can apply a lot of different types of data to the Data Studio reports, this article will concentrate on the Google Analytics (GA) data connector and drag GA data.

Data Studio Structure Data Studio files are made up of two major components: The report template consists of maps, graphs, tables, text boxes, shapes-any part, both visual and esthetic, used to construct a report.

The data source is just as it looks like-the data source that populates the study. The data source can include measured fields and segments if these features are configured in a given data source.

Because of this arrangement, based on how you populate or share a report, the person you share with will require access to both the report prototype and the data source.

Sharing a Report Template Access to the report template basically means exchanging the report template either through a connection or via email.

Why will I need to share a template for a report?

There are many reasons you will need to share a template for a paper, including the following:

You need to work with other users on a report.

You need to provide the details to the person who requested the report (especially if you want them to have access to the dynamic aspects of the report like date selectors, data filters, etc.).

You've created a blueprint, and you want to allow others access to it for their own news.

How to Share your Report Template To do this, open your Data Studio report and press the Sharing button.

You may either provide direct access to individual email addresses or provide a connection that will enable various groups of people to access the study. Access-level is managed in the same way as Google Docs with "View" and "Edit" options.

Copying a Report Template Often you may like to make a copy of a paper that has been shared with you. To make a copy of a report prototype, press the Copy button: Whether the "Original Data Source" area appears as "(Unknown)," this simply means that you do not have access to the original data source that was the source of the article. You will replace the original data sources with another data source that you have access to.

Sharing a Data Source Access to a data source could mean two things: The customer has full access to the data source. For example, the Google Analytics user permissions for that GA account, property, or view.

The root of the data is shared with the customer. For example, if you make any edits to a data source, such as inserting a measured area, you need to share the edited data source with the user, regardless of whether or not they have direct access to the original data source.

Why will I need to share a source of data?

If you give a user direct access to a report via email or share a page, they will have access to your edited data source within the bounds of that report.

However, if you need to copy the initial report template and re-add your edited data source to the template, or if you need to generate a new report using your edited Google Data Studio source, you would need to exchange the edited data source.