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Monday.com Icon Monday.com ODBC Driver

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

Access Monday.com data like you would a database - read Monday.com data through a standard ODBC Driver interface.

Author and Share Power BI Reports on Real-Time Monday.com Data



Use the CData ODBC Driver for Monday.com to visualize Monday.com data in Power BI Desktop and then upload to the Power BI service.

With built-in support for ODBC on Microsoft Windows, CData ODBC Drivers provide self-service integration with self-service analytics tools such as Microsoft Power BI. The CData ODBC Driver for Monday.com links your Power BI reports to operational Monday.com data. You can monitor Monday.com data through dashboards and ensure that your analysis reflects Monday.com data in real time by scheduling refreshes or refreshing on demand. This article details how to use the ODBC driver to create real-time visualizations of Monday.com data in Microsoft Power BI Desktop and then upload to Power BI.

The CData ODBC Drivers offer unmatched performance for interacting with live Monday.com data in Power BI due to optimized data processing built into the driver. When you issue complex SQL queries from Power BI to Monday.com, the driver pushes supported SQL operations, like filters and aggregations, directly to Monday.com and utilizes the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Monday.com data using native Power BI data types.

Connect to Monday.com as an ODBC Data Source

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.

You can connect to Monday.com using either API Token authentication or OAuth authentication.

Connecting with an API Token

Connect to Monday.com by specifying the APIToken. Set the AuthScheme to Token and obtain the APIToken as follows:

  • API tokens for admin users
    1. Log in to your Monday.com account and click on your avatar in the bottom left corner.
    2. Select Admin.
    3. Select "API" on the left side of the Admin page.
    4. Click the "Copy" button to copy the user's API token.
  • API tokens for non-admin users
    1. Click on your profile picture in the bottom left of your screen.
    2. Select "Developers"
    3. Click "Developer" and then "My Access Tokens" at the top.
    4. Select "Show" next to the API token, where you'll be able to copy it.

Connecting with OAuth Authentication

Alternatively, you can establish a connection using OAuth (refer to the OAuth section of the Help documentation).

After creating a DSN, follow the steps below to connect to the Monday.com DSN from Power BI Desktop:

  1. Open Power BI Desktop and click Get Data -> ODBC. To start Power BI Desktop from PowerBI.com, click the download button and then click Power BI Desktop.
  2. Select the DSN in the menu. If you know the SQL query you want to use to import, expand the Advanced Options node and enter the query in the SQL Statement box.
  3. Select tables in the Navigator dialog.
  4. Click Edit to edit the query. The table you imported is displayed in the Query Editor. In the Query Editor, you can enrich your local copy of Monday.com data with other data sources, pivot Monday.com columns, and more. Power BI detects each column's data type from the Monday.com metadata retrieved by the driver.

    Power BI records your modifications to the query in the Applied Steps section, adjusting the underlying data retrieval query that is executed to the remote Monday.com data. When you click Close and Apply, Power BI executes the data retrieval query.

    Otherwise, click Load to pull the data into Power BI.

Create Data Visualizations

After pulling the data into Power BI, you can create data visualizations in the Report view by dragging fields from the Fields pane onto the canvas. Follow the steps below to create a pie chart:

  1. Select the pie chart icon in the Visualizations pane.
  2. Select a dimension in the Fields pane: for example, Id.
  3. Select a measure in the DueDate in the Fields pane: for example, DueDate.

You can change sort options by clicking the ellipsis (...) button for the chart. Options to select the sort column and change the sort order are displayed.

You can use both highlighting and filtering to focus on data. Filtering removes unfocused data from visualizations; highlighting dims unfocused data. You can highlight fields by clicking them:

You can apply filters at the page level, at the report level, or to a single visualization by dragging fields onto the Filters pane. To filter on the field's value, select one of the values that are displayed in the Filters pane.

Click Refresh to synchronize your report with any changes to the data.

Upload Monday.com Data Reports to Power BI

You can share reports based on ODBC data sources with other Power BI users in your organization. To upload a dashboard or report, log into PowerBI.com, click Get Data -> Files, and navigate to a Power BI Desktop file or Excel workbook. You can then select the report in the Reports section.

Refresh on Schedule and on Demand

You can use the Power BI Personal Gateway to automatically refresh the dataset associated with your report. You can also refresh the dataset on demand in Power BI. After installing the Personal Gateway, follow the steps below to schedule refreshes for an ODBC DSN:

  1. Log into Power BI.
  2. In the Dataset section, right-click the Monday.com Dataset.
  3. Click Schedule Refresh.
  4. In the settings for your dataset, expand the Data Source Credentials node and click Edit Credentials in the ODBC section.
  5. Expand the Schedule Refresh section, select Yes in the Keep Your Data Up to Date menu, and specify the refresh interval.

You can now share real-time Monday.com reports through Power BI.