Create SSAS Tabular Models from ServiceNow Data



How to build a SQL Server Analysis Service Tabular Model from ServiceNow data using CData drivers.

SQL Server Analysis Services (SSAS) is an analytical data engine used in decision support and business analytics. It provides enterprise-grade semantic data models for business reports and client applications, such as Power BI, Excel, Reporting Services reports, and other data visualization tools. When paired with the CData ODBC Driver for ServiceNow, you can create a tabular model from ServiceNow data for deeper and faster data analysis.

Create a Connection to ServiceNow Data

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

ServiceNow uses the OAuth 2.0 authentication standard. To authenticate using OAuth, you will need to register an OAuth app with ServiceNow to obtain the OAuthClientId and OAuthClientSecret connection properties. In addition to the OAuth values, you will need to specify the Instance, Username, and Password connection properties.

See the "Getting Started" chapter in the help documentation for a guide on connecting to ServiceNow.

About ServiceNow Data Integration

CData simplifies access and integration of live ServiceNow data. Our customers leverage CData connectivity to:

  • Get optimized performance since CData uses the REST API for data and the SOAP API for schema.
  • Read, write, update, and delete ServiceNow objects like Schedules, Timelines, Questions, Syslogs and more.
  • Use SQL stored procedures for actions like adding items to a cart, submitting orders, and downloading attachments.
  • Securely authenticate with ServiceNow, including basic (username and password), OKTA, ADFS, OneLogin, and PingFederate authentication schemes.

Many users access live ServiceNow data from preferred analytics tools like Tableau, Power BI, and Excel, and use CData solutions to integrate ServiceNow data with their database or data warehouse.


Getting Started


Creating a Data Source for ServiceNow

Start by creating a new Analysis Services Tabular Project in Visual Studio. Next create a Data Source for ServiceNow in the project.

  1. In the Tabular Model Explorer, right-click Data Sources and select "New Data Source"
  2. Select "ODBC" from the Other tab and click "Connect"
  3. Select the DSN you previously configured
  4. Choose "Default or Custom" as the authentication option and click "Connect"

Add Tables & Relationships

After creating the data source you are ready to import tables and define the relationships between the tables.

  1. Right-click the new data source, click "Import New Tables" and select the tables to import
  2. After importing the tables, right-click "Relationships" and click "Create Relationships"
  3. Select table(s), and choose the foreign keys, cardinality, and filter direction

Create Measures

After importing the tables and defining the relationships, you are ready to create measures.

  1. Select the column in the table for which you wish to create a measure
  2. In the Extensions menu -> click "Columns" -> "AutoSum" and select your aggregation method

Deploy the Model

Once you create measures, you are ready to deploy the model. Configure the target server and database by right-clicking the project found in the Solution Explorer and selecting "Properties." Configure the "Deployment Server" properties and click "OK."

After configuring the deployment server, open the "Build" menu and click "Deploy Solution." You now have a tabular model for ServiceNow data in your SSAS instance, ready to be analyzed, reported, and viewed. Get started with a free, 30-day trial of the CData ODBC Driver for ServiceNow.

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The ServiceNow ODBC Driver is a powerful tool that allows you to connect with live ServiceNow data, directly from any applications that support ODBC connectivity.

Access ServiceNow data like you would a database - read, write, and update Schedules, Timelines, Questions, Syslogs, etc. through a standard ODBC Driver interface.