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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
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.
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.
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
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Step 1. Sign up and press Add new in My importers10 seconds
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Step 2. Select Slack as your data source and connect your Slack account20 seconds
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Step 3. Choose the type of data you want to export15 seconds
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Step 4. Connect your BigQuery account, specify the dataset and table for importing1 minute
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Step 5. Set a schedule for the updates and run the importer25 seconds
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.
"The integrations are easy to set up and automate, my colleagues think I'm a genius, but it's really Coupler.io that is doing the heavy lifting.
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