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SQL Server Analysis Services (SSAS) serves as an analytical data engine employed in decision support and business analytics, offering high-level semantic data models for business reports and client applications like Power BI, Excel, Reporting Services reports, and various data visualization tools. When coupled with the CData ADO.NET Provider for Salesforce Marketing Cloud, you gain the capability to generate cubes from Salesforce Marketing data, facilitating more profound and efficient data analysis.
In this article, we will guide you through the process of developing and deploying a multi-dimensional model of Salesforce Marketing data by creating an Analysis Services project in Visual Studio. To proceed, ensure that you have an accessible SSAS instance and have installed the ADO.NET Provider.
Start by creating a new Analysis Service Multidimensional and Data Mining Project in Visual Studio. Next, create a Data Source for Salesforce Marketing data in the project.
Authenticating to the Salesforce Marketing Cloud APIs
Set the and to your login credentials, or to the credentials for a sandbox user if you are connecting to a sandbox account.
Connecting to the Salesforce Marketing Cloud APIs
By default, the data provider connects to production environments. Set to true to use a Salesforce Marketing Cloud sandbox account.
The default Instance is s7 of the Web Services API; however, if you use a different instance, you can set .
When you configure the connection, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
π Setting the Connection properties (Salesforce is shown.)After you create the data source, create the data source view.
Based on the foreign key match scheme, relationships in the underlying data will be automatically detected. You can view (and edit) these relationships by double clicking Data Source View.
π Discovered relationships in the data source view (Salesforce is shown).Note that adding a secondary data source to the Data Source View is not supported. When working with multiple data sources, SSAS requires both sources to support remote queries via OpenRowset which is unavailable in the ADO.NET Provider.
The last step before you can process the project and deploy Salesforce Marketing data to SSAS is creating the cubes.
With the data source, data source view, and cube created, you are ready to deploy the cube to SSAS. To configure the target server and database, right-click the project and select properties. Navigate to deployment and configure the Server and Database properties in the Target section.
π Configuring the target server and database.After configuring the target server and database, right-click the project and select Process. You may need to build and deploy the project as a part of this step. Once the project is built and deployed, click Run in the Process Database wizard.
Now you have an OLAP cube for Salesforce Marketing data in your SSAS instance, ready to be analyzed, reported, and viewed. Get started with a free, 30-day trial of the CData ADO.NET Provider for Salesforce Marketing Cloud.
Download a free trial of the Salesforce Marketing Data Provider to get started:
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π Salesforce Marketing Cloud IconRapidly create and deploy powerful .NET applications that integrate with Salesforce Marketing Cloud data including Accounts, Emails, Lists, Subscribers, and more!