Table of Contents

Google Data Studio

Active
This application does not need additional settings. So you can make connectionUnique, active service acces point to a network. There are different types of connections (API key, Oauth…). only by using your login credentials or by following the instructions below .

Google Data Studio

Getting Started with Google Data Studio

Prerequisites:

To access Google Data Studio, a Google account is needed. You can log into Google Data Studio or create an account on the Google Data Studio page.
A Boost.spaceCentralization and synchronization platform, where you can organize and manage your data. IntegratorPart of the Boost.space system, where you can create your connections and automate your processes. Data Source created and authorized in Google Data Studio.
A created (and executed) scenarioA specific connection between applications in which data can be transferred. Two types of scenarios: active/inactive.

	Warning
	To establish a connection to Google Data Studio you must create and run your scenario beforehand! See the instructions below.

	Note
	Boost.space Integrator‘s use and transfer of information received from Google APIs to any other app will adhere to Google API Services User Data Policy.

Creating a Boost.space Integrator Data Source in Google Data Studio

Create your scenario.

Note

You must run the scenario before you connect to the Boost.space Integrator data source in Google Data Studio.

Each Google Data Studio scenario in Boost.space Integrator must have at least two modulesThe module is an application or tool within the Boost.space system. The entire system is built on this concept of modularity. (module - Contacts): the webhookA webhook is a way for an app to send real-time information to a specific URL in response to certain events or triggers., New Request (the first moduleThe module is an application or tool within the Boost.space system. The entire system is built on this concept of modularity. (module - Contacts) in the scenario) and the responder/aggregator, New Response (the last module in the scenario in which you must specify a structure for your data). Between these two modules, you should place other modules.

You can use this template for it: https://www.make.com/en/template/3129-send-daily-weather-forecast-data-to-google-data-studio

Use the New Request module to generate a webhook URL.

Copy the Webhook URL to use it in step 6.
Save the scenario and Run it by clicking the Run Once button
Click the following link to add the Boost.space Integrator data source to Google Data Studio:

https://datastudio.google.com/datasources/create?connectorId=AKfycbwUsUqXSVNBmjwrv90WcFjLR41NMIyEus4xuwl9DvQ_wCESH4IKxxrge8eoOF012AvD
To confirm the action click on the AUTHORIZE button.
Sign-in using your Google account credentials and grant access rights by clicking on the ALLOW button.
Paste the Boost.space Integrator webhook URL – use the webhook URL from step 1.
Click on the CONNECT button in the top-right corner.
Add the data source to your report.

Aggregators

New response

This module must be the last module in your scenario. It sends collected data to Google Data Studio.

Source module

Select the source module you want to collect the data from.

Schema

Set Name and Data type.

Note

The Name field will be used as a unique identifier. Only alphanumeric characters and underscores are allowed. E.g. instead of “Campaign ID” enter “Campaign_ID“.

You can set a more user-friendly name in the LabelA label is a “tag” that can be added to items within a module. It's a flexible tool used to categorize and organize data, making it easier to customize workflows and processes. field under the Show advanced settings option.

Group by

Here you can define an expression containing one or more mapped itemsItems are rows in records (order/request/invoice/purchase...). The aggregated data will be then separated under Groups with the same expression’s value. Each Group outputs as a separate bundleA bundle is a chunk of data and the basic unit for use with modules. A bundle consists of items, similar to how a bag may contain separate, individual items. and contains a Key with the evaluated expression and the aggregated text. By doing this, you can use the Key as a filter in subsequent modules.

Stop processing after an empty aggregation

Enable this option to stop the scenario when no data is received.

Values

Enter Name and Value.

	Warning
	The name of the Name field in the Schema section must be the same as the name of the Name field in the Values section.

Data Set Configuration Error

If you get this errorService is unavailable due to a failure, a service responds with unexpected data or the validation of input data fails. message, make sure that:

You run your Boost.space Integrator scenario before performing an action in Google Data Studio.
The webhook in your active New Request module matches the webhook URL used in the Boost.space Integrator Google Data Studio data source.

Sample scenario

The following scenario will collect data from the Weather > Get Daily Weather Forecast module and will create a chart in the Google Data Studio.