Build Charts with Outlook Data in Clear Analytics

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Create dynamic charts and perform analytics based on Outlook data in Clear Analytics.

The CData ODBC driver for Outlook enables access to live data from Outlook under the ODBC standard, allowing you work with Outlook data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to use Clear Analytics, a Microsoft Excel Add-In, to connect to Outlook as an ODBC source and create queries, tables, and charts (including PivotTables) based on Outlook data.

Connect to Outlook Data


Configure the ODBC Data Source Name

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. 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.

Using OAuth Authentication

Microsoft Graph API uses OAuth 2.0 for authentication. You must register an application in the Microsoft Azure Portal to obtain OAuth credentials (Client ID and Client Secret).

Obtaining OAuth Credentials

  1. Log in to the Azure Portal.
  2. Navigate to Azure Active Directory > App registrations.
  3. Click New registration to create a new application.
  4. Enter an application name and select the appropriate account types.
  5. Set the Redirect URI to your application's callback URL (e.g., http://localhost:33333 for desktop apps).
  6. Click Register to create the application.
  7. On the application overview page, copy the Application (client) ID - this is your OAuthClientId.
  8. Navigate to Certificates & secrets and create a new client secret.
  9. Copy the client secret value - this is your OAuthClientSecret.
  10. Navigate to API permissions and add the required Microsoft Graph API permissions:
    • Mail.Read - For accessing email messages
    • Contacts.Read - For accessing contacts
    • Calendars.Read - For accessing calendar events
    • Tasks.Read - For accessing To Do tasks
    • offline_access - For obtaining refresh tokens
  11. Click Grant admin consent to grant these permissions.

Connecting with OAuth

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

  • AuthScheme: Set this to OAuth.
  • InitiateOAuth: Set this to GETANDREFRESH. The CData API Profile for Outlook will automatically walk through the OAuth process in order to obtain the access token.
  • OAuthClientId: Set this to the Application (client) ID from Azure Portal.
  • OAuthClientSecret: Set this to the client secret value from Azure Portal.
  • TenantId: Set this to your Azure AD tenant identifier (GUID or domain name like 'contoso.onmicrosoft.com').
  • CallbackURL: Set this to the Redirect URI you specified in your app registration (e.g., http://localhost:33333 for desktop apps).

Example connection string

Profile=C:\profiles\Outlook.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;TenantId=your_tenant_id;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.

Configure the Data Source in Clear Analytics

  1. Open Excel and navigate to the CLEAR ANALYTICS ribbon. Once there, open the Data Manager.
  2. Select Database as the data source.
  3. In the Set Connection section, click the option to create a new database.
  4. Select Microsoft ODBC Data Source as the data source and click OK.
  5. Select the DSN you already configured from the drop-down menu.
  6. Back on the Set Connection section, select Standard (ANSI ODBC) Query Builder as the SQL Builder Provider and click Next.
  7. Select the Schema/Owner and choose the domains (tables) that you wish to use in Clear Analytics.
  8. Prepare your data objects as needed by customizing the display names and descriptions of the tables and columns.
  9. For the vast majority of the CData ODBC Drivers, you will not set a key date for your domains.
  10. In the Domain Relations section, add any relational information between tables.
  11. In the Domain Tree section, create groups for your data and add the available items to the groups.
  12. Review the summary of your data and click Finish.

Create a Chart with Outlook Data

You are now ready to create a chart with Outlook data.

Create a New Query

  1. Click Repository in the CLEAR ANALYTICS ribbon.
  2. Create a new query.
  3. Select the columns you wish to retrieve.
  4. Set the aggregation type for your data (use the blank entry if you do not wish to aggregate the data).
  5. Set filters and formulas by dragging columns to the lower window.
  6. Name your query and click Save.

Build a Chart Based on a Query Report

With the query created, you are now ready to execute a report and display a chart.
  1. Click Report Explorer in the CLEAR ANALYTICS ribbon.
  2. In the Report Explorer pane, click the 'New Report' icon in the toolbar.
  3. Select the query you just created.
  4. Name the report and click 'Save and Execute'.
  5. Click the Results tab within the Report Explorer
  6. Expand your report and drag the chart to the Excel spreadsheet.
  7. In the resulting PivotChart window, drag the fields (columns) to the Filters, Legends, Axis (Categories), and Values windows.

With a new data source in Clear Analytics established and a chart created, you are ready to begin analysis of Outlook data. With the ODBC Driver for Outlook and Clear Analytics, you can perform self-service analytics in Excel with live data, directly from Outlook.

Ready to get started?

Connect to live data from Outlook with the API Driver

Connect to Outlook