Looker Data Actions

Looker takes an advanced approach to analytics, making it simple to build dependable data applications that enable any user to explore, analyze, and comprehend the data they require. Data Actions, which are based on our extensive APIs, allow users to perform tasks across nearly any other application from a single Looker interface.Looker can help you organize your workflows and make your team more sustainable, efficient, and approachable.

Why Data Actions?

Looker data actions helps in achieving the following things for an ease.They are:

  • One can easily update salesforce records form a single page.
  • You can easily manage the support tickets.
  • You can easily tag an dpritoize the github issues.
  • You can easily monitor the adword spend.
  • Enable the trigger tailored emails on command.

Looker takes an advanced approach to analytics, making it simple to build dependable data applications that enable any user to explore, analyze, and comprehend the data they require.

Data Actions, which are based on our extensive APIs, allow users to perform tasks across nearly any other application from a single Looker interface. Stop forcing your team to switch between tabs and tools to complete routine tasks.

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Looker Data Actions:

Using Looker's standard tools, you can move through your workflow quickly. Looker Actions enables us to create and act on your data. From interacting with your users to revamping records in any of the application domains you use, you can do it all.

Here is the list of looker data actions. They are:

Slack:

Notify your team of changes in activity directly from Slack.By directly injecting data into conversations, you can directly answer important questions.Custom commands that query Looker directly through Slack can be distributed to the rest of your company.

Segment

Looker email cohorts can be easily managed by sending lists to Marketo, Hubspot, Airship, and other services.With the click of a button, you can activate win-back and upsell campaigns.

Twilio:

Ad-hoc sends allow you to quickly send a text message to any phone number in your database from Looker. It doesn't matter if you're sharing your knowledge by sending data or simply creating a custom message on the fly.Schedule text messages - sharing insights with customers is an effective way to build relationships. Schedule data delivery to those who require it the most at your preferred interval. Use the Twilio Action to set up text alerts to easily notify customers when something happens, such as a delay in an order or an outage on their instance.

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Zapier:

With the Tray Action, users will be able to seamlessly integrate Looker queries into their daily workflows. Upload data to a cloud storage solution, distribute reports via an email list for the team, or even send reports to customers. Use this Action for a variety of scenarios with Zapier's extensive integration list, the sky's the limit.

Salesforce:

As you progress through the sales cycle, update the contract value of each new deal.

Twilio:

Use Twilio to send promotions, customer satisfaction surveys, and other notifications to customers.

Exavault:

Schedule the SFTP delivery of Looker dashboards, visualizations, or data to ExaVault. Avoid email size restrictions and ensure that your Looker data reaches the people and systems that need to process and analyze it. The following are some examples of use cases for this Action:

  • Sending daily sales and inventory automatically
  • Reports are automatically sent to colleagues and partners.
  • Schedule data collection to ExaVault.

Amazon Sagemaker:

Using machine learning algorithms on Looker data, use Amazon Sagemaker to predict, forecast, or classify data points.This Action allows you to send the results of a Looker query to XGBoost or Linear Learner to train a model for regression or classification, or to perform predictions on the results of a Looker query using a previously trained model. The Action is made up of three parts:

  • Amazon Sagemaker Train: XGBoost - uses the output of a Looker query to train an ML model with the XGBoost algorithm for regression, binary, or multiclass classification.
  • Amazon Sagemaker Train: Linear Learner - uses the output of a Looker query to train an ML model with the Linear Learner algorithm for regression, binary, or multiclass classification.
  • Amazon Sagemaker Infer : operates a batch inference job against the output of a Looker query using an existing Sagemaker ML model for target prediction.

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SendGrid:

  • Ad-hoc sends allow you to quickly send an email from Looker to any email address in your database. Whether it's sharing your knowledge by sending data or simply creating a custom message on the fly.
  • Schedule emails - sharing insights with customers is an effective way to build relationships. Deliver scheduled data to those who need it the most at the interval you specify.
  • Email alerts - using the SendGrid Action to easily notify customers when something happens, whether it's a delay in an order or an outage on their instance.

Auger.AI:

This Action also reduces the workload of each data scientist because anyone in a company can run and deploy a predictive model with a few clicks. To create an accurate predictive model, use this Action with any labeled dataset, such as:

  • Forecast inventory to better balance supply and demand Predict equipment failures to perform preventative maintenance
  • Estimate headcount and employee turnover, as well as customer churn.
  • Determine the credit risk of customers for loans and financial transactions.

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DataRobot:

This Action also reduces the workload of each data scientist because anyone in an organization can run and deploy a predictive model with a few clicks. Utilize this Action to:

  • Determine which customers are likely to be repeat buyers.
  • Learn what user characteristics make certain account profiles a churn risk.
  • Investigate which factors, such as region and age, lead to higher sales.

Airtable

Looker Airtable Action transfers data from Looker to your Airtable spreadsheets. Using this Action, you can create and update Airtable spreadsheets for a variety of purposes, including:

  • Developing and maintaining lists of customer segments.
  • Every order and its details should be listed on your eCommerce site on a daily basis.
  • Keeping track of any backend infrastructure issues as they arise.
  • Keeping a list of customers who have been affected by high-severity issues.

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Conclusion

In the above blog post all the looker data actions are explained, you can select your interested action to perform  the business operations. Had any doubts, please drop your queries in the comments section, our experts will get back to you shortly.

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Gayathri
Gayathri
Research Analyst
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.