Microsoft Power BI and Harvest Integration

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Combine Harvest's time tracking with Microsoft Power BI's analytics using Latenode. Build custom dashboards and reports affordably, automating insights on project profitability and team efficiency. Use JavaScript for advanced data manipulation.

Microsoft Power BI + Harvest integration

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Microsoft Power BI

Harvest

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft Power BI and Harvest

Create a New Scenario to Connect Microsoft Power BI and Harvest

In the workspace, click the β€œCreate New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Microsoft Power BI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft Power BI or Harvest will be your first step. To do this, click "Choose an app," find Microsoft Power BI or Harvest, and select the appropriate trigger to start the scenario.

Add the Microsoft Power BI Node

Select the Microsoft Power BI node from the app selection panel on the right.

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Configure the Microsoft Power BI

Click on the Microsoft Power BI node to configure it. You can modify the Microsoft Power BI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Connect Microsoft Power BI

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Run node once

Add the Harvest Node

Next, click the plus (+) icon on the Microsoft Power BI node, select Harvest from the list of available apps, and choose the action you need from the list of nodes within Harvest.

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Authenticate Harvest

Now, click the Harvest node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Harvest settings. Authentication allows you to use Harvest through Latenode.

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Configure the Microsoft Power BI and Harvest Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Set Up the Microsoft Power BI and Harvest Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Microsoft Power BI, Harvest, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking β€œRun once” and triggering an event to check if the Microsoft Power BI and Harvest integration works as expected. Depending on your setup, data should flow between Microsoft Power BI and Harvest (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Microsoft Power BI and Harvest

Harvest + Google Sheets + Microsoft Power BI: When a new time entry is created in Harvest, the details are added to a Google Sheet. Power BI then updates its dashboard to reflect the new time data.

Harvest + Microsoft Power BI + Slack: When a project's budget nears its limit in Harvest, this triggers an update to the Power BI report. A warning message is then sent to a Slack channel to alert relevant personnel.

Microsoft Power BI and Harvest integration alternatives

About Microsoft Power BI

Use Power BI in Latenode to automate report generation and data analysis. Trigger report refreshes based on real-time events, then use Latenode to share insights across your team via Slack, email, or other apps. Automate your analytics pipeline and react faster, without manual Power BI updates. Latenode adds scheduling and distribution.

About Harvest

Automate time tracking with Harvest in Latenode. Sync time entries to accounting, payroll, or project management. Create flows that auto-generate invoices or trigger alerts for budget overruns. Latenode provides the flexibility to connect Harvest data to other apps and add custom logic, avoiding manual updates and delays.

See how Latenode works

FAQ Microsoft Power BI and Harvest

How can I connect my Microsoft Power BI account to Harvest using Latenode?

To connect your Microsoft Power BI account to Harvest on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Microsoft Power BI and click on "Connect".
  • Authenticate your Microsoft Power BI and Harvest accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically visualize Harvest time entries in Power BI?

Yes, you can! Latenode automates data transfer, letting you create real-time dashboards in Microsoft Power BI using Harvest time tracking data effortlessly.

What types of tasks can I perform by integrating Microsoft Power BI with Harvest?

Integrating Microsoft Power BI with Harvest allows you to perform various tasks, including:

  • Visualize project profitability based on tracked time and expenses.
  • Create custom reports on team utilization rates.
  • Automate data refresh between Harvest and Microsoft Power BI.
  • Generate alerts for projects exceeding budget or time estimates.
  • Analyze time spent on different task categories in Harvest.

How do I handle data transformations between Microsoft Power BI and Harvest?

Latenode offers visual data mapping and JavaScript code blocks for custom data transformations, ensuring compatibility between apps.

Are there any limitations to the Microsoft Power BI and Harvest integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data models in Microsoft Power BI may require custom JavaScript coding.
  • Rate limits on the Harvest API can affect real-time data synchronization.
  • Historical data import from Harvest may require batch processing.

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