Census Enables Python Modeling for Data Activation on the Snowflake Data Cloud

Census, a leading data activation and reverse ETL platform that syncs customer data from data warehouses to key business tools, announced at Snowflake’s annual user conference, Snowflake Summit 2023, the launch of new features, Powered by Snowflake, that empower users to activate data using Python to run complex data transformation models on Snowflake.

Developed using Snowflake’s Snowpark API for Python, these newly-released Census features now give users the ability to run advanced Python models effortlessly on Snowflake by eliminating complex data pipelines and processing. Data scientists and data engineers can extend the outputs of their Python models directly to business teams for usage in customer-facing applications. For example, customers can use Python to run predictive models to better identify top sales leads in Salesforce, or at-risk customers in Zendesk on Snowflake.

“Machine learning’s true value lies in leveraging its outputs to make better business decisions,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “With Census and Snowpark for Python, modern data teams can easily operationalize their models through reverse ETL and data activation. They can generate insights, work natively with Snowflake, and extend their learnings across the entire organization, all within a single seamless workflow.”

While SQL is the long-standing database language for querying and transforming data, Python has emerged as the preferred programming language for data science and ML. With Census and Snowpark, data scientists and developers no longer need to stitch multiple tools together to analyze data in multiple languages. They can work together on a single platform to move from raw data to insight, resulting in more agile data engineering and ML projects.

“The ability to run machine learning workloads directly in Snowflake and operationalize them with Census in one place could greatly simplify our ML pipeline,” said Marc Stone, Head of Analytics and Data at ClickUp. “It’s a more streamlined way to leverage Python in our data stack instead of just SQL, which means we can get lead scoring, churn prediction, and intent models into Salesforce easier than ever.”

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Census is a Snowflake Premier Partner and has worked closely with Snowflake to develop new solutions that help customers extract more value from data stored in the cloud, including its newly-released Audience Hub. Audience Hub, Powered by Snowflake, is a suite of visual marketing features for powerful customer segmentation, cross-channel personalization, and precise targeting.

Census reverse ETL connects Snowflake to 160+ SaaS tools, so business users have a single source of truth that is current, complete, and consistent. Last year, Census released Snowflake Stream Triggers, a more efficient and cost-effective approach to continuously sync Snowflake data with operational tools by tracking source data changes.

“We are thrilled to announce that Census, Powered by Snowflake, now integrates natively with Snowpark,” said Boris Jabes, CEO of Census. “As one of our strategic partners, Snowflake shares our mission to power customer experiences from their world class data cloud. The Snowpark developer platform makes it simple for Census to connect any data processing workflow into business applications without any extra orchestration.”

SOURCE: BusinessWire

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