Kommo and Google Cloud BigQuery Integration

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Analyze Kommo sales data in Google Cloud BigQuery to gain deeper insights into customer behavior. Latenode simplifies this with a visual editor and flexible JavaScript nodes, plus affordable pay-by-execution pricing for enterprise scale.

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Kommo

Google Cloud BigQuery

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Kommo and Google Cloud BigQuery

Create a New Scenario to Connect Kommo and Google Cloud BigQuery

In the workspace, click the “Create 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 Kommo, triggered by another scenario, or executed manually (for testing purposes). In most cases, Kommo or Google Cloud BigQuery will be your first step. To do this, click "Choose an app," find Kommo or Google Cloud BigQuery, and select the appropriate trigger to start the scenario.

Add the Kommo Node

Select the Kommo node from the app selection panel on the right.

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Configure the Kommo

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

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Run node once

Add the Google Cloud BigQuery Node

Next, click the plus (+) icon on the Kommo node, select Google Cloud BigQuery from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery.

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Authenticate Google Cloud BigQuery

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

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Configure the Kommo and Google Cloud BigQuery 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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Google Cloud BigQuery Oauth 2.0

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Run node once

Set Up the Kommo and Google Cloud BigQuery 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 Kommo, Google Cloud BigQuery, 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 “Run once” and triggering an event to check if the Kommo and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Kommo and Google Cloud BigQuery (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Kommo and Google Cloud BigQuery

Kommo + Google Cloud BigQuery + Google Sheets: New leads in Kommo trigger the creation of a query job in BigQuery. The results of this query job are then added as multiple rows to a Google Sheet for visualization and analysis.

Google Cloud BigQuery + Kommo + Slack: A new row in BigQuery triggers a check for sales data anomalies. If anomalies are detected, a Kommo task is created, and a Slack message is sent to the sales team to investigate.

Kommo and Google Cloud BigQuery integration alternatives

About Kommo

Integrate Kommo with Latenode to automate sales processes. Trigger actions in other apps when deals change status, or create Kommo leads from form submissions. Build custom workflows with no-code tools or JavaScript, scaling your sales automation without complex coding. Use Latenode's visual editor to connect Kommo to your entire tech stack.

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About Google Cloud BigQuery

Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.

See how Latenode works

FAQ Kommo and Google Cloud BigQuery

How can I connect my Kommo account to Google Cloud BigQuery using Latenode?

To connect your Kommo account to Google Cloud BigQuery on Latenode, follow these steps:

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

Can I analyze Kommo sales data in BigQuery?

Yes, you can! Latenode's flexible data mapping and transformation tools let you seamlessly transfer data for in-depth analytics. Unlock valuable insights and optimize your sales strategy.

What types of tasks can I perform by integrating Kommo with Google Cloud BigQuery?

Integrating Kommo with Google Cloud BigQuery allows you to perform various tasks, including:

  • Backing up Kommo contact data to a secure BigQuery dataset.
  • Creating custom sales performance dashboards using BigQuery data.
  • Automating data warehousing for Kommo sales pipelines.
  • Enriching Kommo leads with insights derived from BigQuery analysis.
  • Triggering actions in Kommo based on BigQuery data analysis results.

Can I use JavaScript to transform data between Kommo and BigQuery?

Yes! Latenode allows you to use JavaScript code blocks for complex data transformations before loading into BigQuery.

Are there any limitations to the Kommo and Google Cloud BigQuery integration on Latenode?

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

  • Initial data migration from Kommo might require careful planning for large datasets.
  • Complex data transformations may require some JavaScript coding knowledge.
  • BigQuery costs depend on your data volume and query complexity.

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