Automate Slack to BigQuery integration without coding

Export your messages and other data from Slack to BigQuery and set a custom schedule for regular automated updates

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Why set a Slack to BigQuery integration

Add your Slack data to the big picture

Gather in BigQuery your data from multiple sources, including Slack. Extract valuable insights from your team’s daily collaboration, communication with customers, and other processes you use Slack for. Benefit from BigQuery’s scalable storage capacities to backup your Slack data in the cloud. Get a 360-degree view of your company’s metrics and performance by combining your Slack data with information from other tools and analyzing it in depth. Coupler.io can help you set automated integrations with BigQuery for more than 20 different systems. In addition, it will keep your data in BigQuery refreshed, fetching the updated information on a custom schedule.

Unlock data-driven decision-making

Use the powerful technologies, tools, and approaches offered by BigQuery to analyze your Slack data. With Coupler.io, you can set a Slack to BigQuery integration in minutes. Once this is done, you’ll be able to monitor customer requests, team communication, and other processes in BigQuery. You can use advanced filtering to query your dataset and benefit from the complete transparency of the collected information. BigQuery allows you to efficiently handle terabytes of data at a lightning-fast speed and draw actionable conclusions. This will help you enable data-driven decision-making, prepare for various scenarios ahead, and optimize your business operations.

Leverage ML to uncover underlying trends

Connect Slack to BigQuery and gain a deep understanding of the processes in your organization. Use BigQuery’s in-built machine learning mechanisms to thoroughly analyze your communication with the clients and partners, as well as interactions inside your team. Uncover the emerging trends, predict future outcomes, and obtain meaningful insights. The Automatic data refresh feature, offered by Coupler.io, will keep supplying the machine learning algorithms with the latest data from Slack. Coupler.io can fetch refreshed data from Slack to BigQuery as often as every 15 minutes, so your analytics will always be up to date.

What data you can load from Slack to BigQuery

01. Messages

Automatically transfer new messages from Slack to BigQuery, apply multiple filters, and easily derive business insights from your data. You can choose what information to export, selecting messages from specific channels, users, or time periods. With Coupler.io, you can also filter data by keywords, threads, reactions, and other parameters. This allows you to export precisely what you need and when you need it. Coupler.io will keep automatically refreshing your Slack data in BigQuery according to your preferences.

02. Channel data

Perform advanced analysis of your channel data in BigQuery and get a comprehensive understanding of your organization’s processes. Track user activity in different channels, be it your team’s collaboration on projects or customer involvement. You can use Slack search modifiers to pinpoint the information you need and import it automatically with Coupler.io. Having exported Slack to BigQuery, you’ll be able to monitor your progress, obtain valuable insights, and visualize your findings with Data Studio.

03. User data

Export any user data from Slack to BigQuery to organize, analyze, or present it in a visual format. With the Coupler.io integration, you can extract any information people provide in their Slack profiles. If someone communicates in your channels or contacts your organization in direct messages, you’ll be able to import their name, profile picture, job title, and various contact information. This includes mobile phone number, email address, time zone, and other details. Analyzing this data in BigQuery can enhance your understanding of your customers, target audience, employees, or partners.

How to export Slack to BigQuery

Step 1. Sign up and press Add new in My importers
10 seconds
Step 2. Select Slack as your data source and connect your Slack account
20 seconds
Step 3. Choose the type of data you want to export
15 seconds
Step 4. Connect your BigQuery account, specify the dataset and table for importing
1 minute
Step 5. Set a schedule for the updates and run the importer
25 seconds

Why use Coupler.io to integrate Slack to Google BigQuery

Coupler.io allows you to easily automate the data importing process with no coding. You can effortlessly set a Slack to BigQuery integration in a couple of minutes. We value your time, so Coupler.io was created with a focus on efficiency and seamless user experience. You can sign up in seconds using your Google or Microsoft account and start exporting your data immediately. Choose different intervals to automate your data exports from Slack to BigQuery and use other actionable features to optimize your data flow. Besides Slack, Coupler.io can transfer your information to BigQuery, Google Sheets, and Excel from more than 20 other sources. The full list includes such tools as Airtable, Shopify, Pipedrive, Jira, and Clockify.

Automate the exporting of data with Coupler.io and free your team from repetitive manual work.

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What tech skills do I need to set Slack to BigQuery automation?

You don’t need any advanced tech skills for this. With Coupler.io, any business user can set the automation process quickly and easily, no coding is required.

How to set Slack replication to Google BigQuery?

Sign up and click Add new on the My importers tab. Select Slack as your data source and connect your Slack account. Specify the type of data you want to transfer (Messages, Channels, or Users) and apply filters if needed. Then, select BigQuery as your destination and connect your account. Provide the dataset and table name for importing your information. Optionally, set the schedule for automatic updates. Then, hit Run and start working with your Slack data in Google BigQuery.

How to send your data from Slack to BigQuery on a schedule?

Turn on the Automatic data refresh feature in your Coupler.io importer settings. After this, select the preferred interval for the updates. It can vary from as much as one month to 15 minutes, depending on your goals. Then, choose the days of the week and the time when you want your data to be refreshed. You can also select your time zone from the dropdown menu. Press Save and Run. Now, Coupler.io will start fetching the refreshed information from Slack to BigQuery according to your settings.

Can I try to export data from Slack to BigQuery for free?

Yes, you can sign up for a 14-day free trial to check out how Coupler.io works. Connect Slack to BigQuery, set automatic updates, and try other useful features available. Choose the proper subscription plan depending on your team’s size and goals. See the features we provide with different plans on our Pricing page.

See what our customers say

"Coupler.io automatically imports the full dataset you need and it refreshes it completely on any schedule you want. No triggers necessary. And the best of all, the team is very supportive.