Add external data to time series forecasts with ReadySignal

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Ready Signal is an AI-powered data platform that provides access to over 500 normalized, aggregated, and automatically updated data sources for predictive modeling, experimentation, business intelligence, and other data enrichment needs. The data catalog includes micro/macro-economic indicators, labor statistics, demographics, weather, and more. Its AI recommendation engine and auto feature engineering capabilities make it easy to integrate with existing data pipelines and analytics tooling, accelerating and enhancing how relevant third-party data is leveraged. 


About this Accelerator

This Accelerator guides you through the process of using Ready Signal to add external control data, such as census and weather data, to improve time series predictions. Its outlines is an example of how to add external data to your time series dataset, create a DataRobot project, and make predictions using DataRobot and Ready Signal.


Here, DataRobot provides an example of predicting lumber price combined with the most relevant external data automatically identified by ReadySignal based on correlation with the target variable. The workflow can be applied to any time series forecasting project.


What you will learn  

  • Connect to DataRobot and retrieve data
  • Understand how to use Ready Signal 2.1 Create a signal with Auto Discovery 2.2 Create a signal using the GUI
  • Explore and edit your signal
  • Join Ready Signal data with your time series data
  • Create a time series project with the new data
  • Create a scoring dataset with Ready Signal for predictions


Additional Resources

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Last update:
‎09-05-2023 10:04 PM
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