Free template: use AI to automatically extract your Looker data
Automatically extract your Looker data without writing a single line of code.
The Parabola Team
Transform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.
- Set up your data source by creating a new Parabola flow and connecting your Looker instance.
- Select the specific Looks or Explores you want to extract data from. Configure any necessary filters or parameters.
- Clean, organize, and transform your data. In short, do anything you'd otherwise do in spreadsheets. To help, Parabola offers five different AI-led transform steps.
- Apply any additional processing needed, such as metric calculations, data transformations, or trend analysis.
- Generate your results by previewing the extracted data and running your automated flow. Once set up, this process will handle new Looker data automatically.
How to use Looker with Parabola
Parabola is a powerful tool that can help you automate the process of extracting data from your Looker platform. With Parabola, you can:
- Connect to your Looker instance and pull in your analytics data
- Use AI-powered tools to extract specific information from your reports
- Visualize and analyze the extracted data to gain valuable insights
Retrieving data from Looker
Parabola's Looker integration allows you to pull data directly from your dashboards and reports, making it easy to extract and process information from your analytics platform.
Key features
- Process any Look or Explore in your Looker instance
- Multiple view support (Dashboards, Looks, Explores)
- Standardize data across different report types
- Extract metrics, dimensions, and calculated fields
- Advanced filtering capabilities
- Automated scheduling
How to use
- Add the Pull from Looker step to your Flow
- Connect your Looker instance and authenticate
- Select the Look or Explore you want to pull
- Configure any specific filters or parameters
- Click "Refresh data" to pull in your Looker data
- Adjust the fields and validate your final output
Applying AI to extract your data
The Extract with AI step in Parabola leverages large language models to intelligently parse and extract specific values from your Looker data. This powerful feature can understand context and identify patterns in your data, making it ideal for processing complex analytics information.
Key features
- Natural language processing capabilities
- Custom extraction rules
- Multi-format support
- Batch processing
How to use
- Add the Extract with AI step after your pull step
- Define the metrics and dimensions you want to extract data from
- Create new columns specifying the data you want to extract
- Add additional fine-tuning to further tailor the extraction
- Run a test extraction to verify results
- Adjust settings as needed for optimal results
Practical use cases and examples
Analyzing business performance patterns
By extracting and analyzing data from your Looker dashboards, you can gain valuable insights into your business performance patterns. This information can help you improve your strategies, identify trends, and better understand your key metrics.
Monitoring KPIs and metrics
Extracting key information from your reports, such as performance indicators, trend data, and calculated metrics, can help you stay on top of your business objectives and make data-driven decisions.
Generating reports and insights
Using Parabola's data visualization capabilities, you can create comprehensive reports and dashboards that showcase the insights you've gained from your Looker data. These reports can be used to inform business decisions, track performance, and communicate with stakeholders.
In conclusion, using Parabola to automatically extract and analyze your Looker data can be a powerful way to save time, gain valuable insights, and improve your overall business intelligence capabilities. By leveraging the tool's AI-powered features and data manipulation capabilities, you can streamline your analytics tasks and focus on the more strategic aspects of your business.
