Build Dashboards with Strava Data in Dundas BI

The CData ODBC Driver for Strava enables access to live data from Strava under the ODBC standard, allowing you work with Strava data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to Strava data as a generic ODBC Data Provider and create charts, reports, and dashboards based on Strava data in Dundas BI.

Connect to Strava Data

1. If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
   
   

   To authenticate to Strava, and connect to your own data or to allow other users to connect to their data, you can use the OAuth standard.

   Using OAuth Authentication

   You must create a custom OAuth application to connect to Strava. To create a custom OAuth application:

   1. Log into the Strava API Settings page
   2. Create a new application or select an existing application
   3. Set the "Authorization Callback Domain" to your callback URL domain (e.g. localhost)
   4. Note down the Client ID and Client Secret

   After setting the following connection properties, you are ready to connect:

   • AuthScheme: Set this to OAuth.
   • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
   • OAuthClientId: Set this to the Client ID from your Strava API application.
   • OAuthClientSecret: Set this to the Client Secret from your Strava API application.
   • CallbackURL: Set this to the redirect URI matching your application's callback domain.

   Example connection string:

   Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;
   

   When you configure the DSN, 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.

2. Open the Dundas BI interface, open the menu, and click New Data Connector. 👁 Adding a New Data Connector.
   
3. Configure the Dundas BI Data Connector:
   • Name the Data Connector.
   • Select "ODBC generic" as the Data Provider.
   • Check the "Use System DSN" checkbox.
   • Select the appropriate System DSN.
   👁 Configure the Data Connector.
   

Add Strava Data to a Dashboard

You are now ready to create a dashboard with Strava data.

1. Navigate to the Home page.
2. Click Explore Data.
👁 Home > Explore Data

3. Expand the appropriate Data Connector.
4. Drag the relevant data from the Connector to the panel.
   • You can select an entire "table" to add, but you may need to remove Measures/Rows from the Metric Set to build an appropriate visualization. Alternatively, you can select only the fields you wish to include in the visualization.
   • With the fields selected, you can add any filters or conditions on the Measures and Rows, further customizing the visualization.
👁 Adding data from a Data Connector. (Salesforce is shown.)

5. Click Re-visualize from the menu bar and select the appropriate visualization for the data.
👁 Displayed Data. (Salesforce is shown.)

6. Click Add To New Dashboard to add the visualization to a new dashboard.
👁 Adding the Visualization to a Dashboard. (Salesforce is shown.)

7. Configure the dashboard, creating dynamic visualizations of Strava data. 👁 Sample Dashboard (Salesforce data is shown.)