Build a composable CDP with predictive ML modeling
The value of predictive analytics is increasingly being recognized by data-led businesses with the global market set to increase from $5.29b to $41.52b by 2028.
Despite this, many companies are yet to implement accurate predictive analytics, even for core use cases such as growth forecasting.
The Composable CDP Data Product Accelerator enables you to step up to predictive analytics with ML modeling without the extensive groundwork.
You can accurately predict conversion events and, using Reverse ETL tools, marketing teams can effortlessly build new audiences and activate them through third-party tools.
Productionalized ML models can then be used to visualize ad campaign performance when synced from your new audiences.
The model can be built with Snowflake’s Snowpark and Databrick’s MLFlow.
Key metrics and features included are:
Snowflake | “A Future Proof Customer Data Platform”
Unlock the value of your behavioral data with customer data infrastructure for AI, advanced analytics, and personalized experiences