Google Analytics Connector for SSAS

Google Analytics Connector can be used to read data from Google Analytics Service without learning complex API. Easy to use interface allows you extract large amount of data adjusting parameters such as dimensions, metrics, filters, sortby, date range etc. You can also use inbuilt reports or specify direct query URL to get desired data.

In this article you will learn how to quickly and efficiently integrate Google Analytics data in SSAS without coding. We will use high-performance Google Analytics Connector to easily connect to Google Analytics and then access the data inside SSAS.

Let's follow the steps below to see how we can accomplish that!

Download Documentation

Google Analytics Connector for SSAS is based on which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

Create Data Source in Data Gateway based on

In this section we will create a data source for Google Analytics in Data Gateway. Let's follow these steps to accomplish that:

Download and install ODBC PowerPack.
Search for gateway in Windows Start Menu and open ZappySys Data Gateway Configuration:
Go to Users tab and follow these steps to add a Data Gateway user:
- Click Add button
- In Login field enter username, e.g., john
- Then enter a Password
- Check Is Administrator checkbox
- Click OK to save
Now we are ready to add a data source:
- Click Add button
- Give Datasource a name (have it handy for later)
- Then select Native -
- Finally, click OK
GoogleAnalyticsDSN
When the Configuration window appears give your data source a name if you haven't done that already, then select "Google Analytics" from the list of Popular Connectors. If "Google Analytics" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

GoogleAnalyticsDSN

Google Analytics

Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

OAuth Authentication

Google Analytics authentication

Amazon OAuth Security Profile has be created in Amazon Developer portal. [API reference]

Firstly, login into Amazon Developer portal in https://developer.amazon.com.
Then click Sign in.
If you don't have an account, press Create your Amazon Developer account button to create one.
Once logged in, click on your profile icon on the right-top of the window and hit Settings:
Then click Security Profiles and proceed with creating a new Security Profile:

After that, click Web Settings subtab, then hit Show Secret button to reveal the Client Secret (you will need it later), and click Edit to add a Redirect URL:

Continue by setting Allowed Return URLs (you can have your own or use https://zappysys.com/oauth):
Done! Now you can use Client ID, Client Secret, and Redirect URL when configuring OAuth Authentication parameters:

API Connection Manager configuration

Just perform these simple steps to finish authentication configuration:

Set Authentication Type to OAuth Authentication [OAuth]
Optional step. Modify API Base URL if needed (in most cases default will work).
Fill in all the required parameters and set optional parameters if needed.
Press Generate Token button to generate the tokens.
Finally, hit OK button:

GoogleAnalyticsDSN

Google Analytics

OAuth Authentication [OAuth]

https://advertising-api.amazon.com/v2

Required Parameters
ClientId	Fill-in the parameter...
ClientSecret	Fill-in the parameter...
AuthorizationUrl	Fill-in the parameter...
ReturnUrl	Fill-in the parameter...
Scope	Fill-in the parameter...
Profile (click 'Generate Token' before this)	Fill-in the parameter...
Optional Parameters
RetryMode	RetryWhenStatusCodeMatch
RetryStatusCodeList	429
RetryCountMax	5
RetryMultiplyWaitTime	True

Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

- Google Analytics

Google Analytics Connector can be used to read data from Google Analytics Service without learning complex API. Easy to use interface allows you extract large amount of data adjusting parameters such as dimensions, metrics, filters, sortby, date range etc. You can also use inbuilt reports or specify direct query URL to get desired data.

GoogleAnalyticsDSN
Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in SSAS to retrieve data from Google Analytics. Hit OK button to use this query in the next step.
```
SELECT * FROM Orders
```
Some parameters configured in this window will be passed to the Google Analytics API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.
Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in SSAS:
- Google Analytics

Google Analytics Connector can be used to read data from Google Analytics Service without learning complex API. Easy to use interface allows you extract large amount of data adjusting parameters such as dimensions, metrics, filters, sortby, date range etc. You can also use inbuilt reports or specify direct query URL to get desired data.

GoogleAnalyticsDSN
```
SELECT * FROM Orders
```
You can also access data quickly from the tables dropdown by selecting <Select table>.

A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the Google Analytics API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Google Analytics servers).
Click OK to finish creating the data source.
Very important step. Now, after creating or modifying the data source make sure you:
- Click the Save button to persist your changes.
- Hit Yes, once asked if you want to restart the Data Gateway service.
This will ensure all changes are properly applied:

Skipping this step may result in the new settings not taking effect and, therefore you will not be able to connect to the data source.

Read Google Analytics data in SSAS cube

With the data source created in the Data Gateway (previous step), we're now ready to read Google Analytics data in an SSAS cube. Before we dive in, open Visual Studio and create a new Analysis Services project. Then, you're all set!

In the example below, we use Multidimensional and Data Mining Analysis Services project, but it should work with Tabular project too.

Create data source based on ZappySys Data Gateway

Let's start by creating a data source for a cube, based on the Data Gateway's data source we created earlier. So, what are we waiting for? Let's do it!

Create a new data source:
Once a window opens, select Create a data source based on an existing or new connection option and click New...:
Here things become a little complicated, but do not despair, it's only for a little while. Just perform these little steps:
- Select Native OLE DB\SQL Server Native Client 11.0 as provider.
- Enter your Server name (or IP address) and Port, separated by a comma.
- Select SQL Server Authentication option for authentication.
- Input User name which has admin permissions in the ZappySys Data Gateway.
- In Database name field enter the same data source name you use in the ZappySys Data Gateway.
- Hopefully, our hard work is done, when we Test Connection.
GoogleAnalyticsDSN

GoogleAnalyticsDSN
If SQL Server Native Client 11.0 is not listed as Native OLE DB provider, try using these:
- Microsoft OLE DB Driver for SQL Server
- Microsoft OLE DB Provider for SQL Server
Indeed, life is easy again:

Add data source view

We have data source in place, it's now time to add a data source view. Let's not waste a single second and get on to it!

Start by right-clicking on Data Source Views and then choosing New Data Source View...:
Select the previously created data source and click Next:
Ignore the Name Matching window and click Next.
Add the tables you will use in your SSAS cube:
For cube dimensions, consider creating a Virtual Table in the Data Gateway's data source. Use the DISTINCT keyword in the SELECT statement to get unique values from the facts table, like this:
```
SELECT DISTINCT Country FROM Customers
```
For demonstration purposes we are using sample tables which may not be available in Google Analytics.
Review your data source view and click Finish:
Add the missing table relationships and you're done!