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Continual offers a comprehensive solution for organizations seeking to leverage their data for accurate predictions.

May 23, 2023

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It empowers data teams to build robust models without the need for complex engineering or MLOPS platforms.

Highlight Features:

  1. Compatibility: It seamlessly integrates with popular cloud data platforms such as BigQuery, Snowflake, Redshift, and Databricks.
  2. Simplified Process: Users can build models using SQL or dbt declarations, making it accessible to both SQL and dbt enthusiasts as well as data scientists integrating Python.
  3. Shared Features: By leveraging shared features across teams, data teams can collaborate effectively, foster knowledge sharing, and optimize the predictive modeling process.
  4. Continual Improvement: The models built with that continuously improve over time. By leveraging the latest data, these models deliver up-to-date predictions, ensuring accuracy and relevance in decision-making.
  5. Direct Storage: Data and models are stored directly on the data warehouse, enabling easy access and integration with operational and business intelligence (BI) tools.

Ideal Use:

  1. Predicting customer churn to improve retention strategies and enhance customer satisfaction.
  2. Forecasting inventory demand to optimize supply chain management and ensure efficient inventory management.
  3. Estimating customer lifetime value to make informed marketing decisions and allocate resources effectively.


Continual empowers data teams to simplify predictive model building on modern data stacks. Whether you are a SQL enthusiast, dbt user, or data scientist, It provides the tools and capabilities to drive data-driven decision-making and achieve operational excellence. Embrace it and unlock the full potential of your data stack.

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