Can Snowplow data in Databricks be used for next-best-action modeling?

Yes, Snowplow data in Databricks can be used for next-best-action modeling. Snowplow tracks real-time user interactions, which can then be processed and enriched in Databricks.

Once the data is processed, machine learning models in Databricks can predict the next best action based on past customer behavior and interactions. These models can be deployed to make personalized recommendations, offers, or content in real-time.

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Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.