Analytics is at the heart of every business, and building robust applications that meet the needs of modern organizations is pivotal for analytics providers. Even so, application providers have traditionally grappled with slow development and deployment cycles, while attempting to meet the security, scalability and real time performance standards of modern brands.
As the Snowflake Native App Framework ushers in a new era of modern application development, Snowplow seized an opportunity to build a next-gen analytics solution with their real time behavioral data stream. Snowplow Digital Analytics, a Snowflake Native App, streams granular first-party customer data directly to an organization’s Data Cloud to collect and surface deeper behavioral insights. The native deployment model enables organizations to retain full control, transparency and ownership over their data’s processing and privacy, all while expediting and streamlining their customer data pipelines and eventual decision making.
In this session, Snowplow and Snowflake will demonstrate how:
- This approach reduces onboarding friction and enhances data accessibility across the organization
- Snowplow Digital Analytics enables marketing and data teams to capture and analyze behavioral data in real time with Snowpipe Streaming
- The Streamlit UI equips marketing teams with essential visualizations and reports to optimize customer acquisition, retention and conversion metrics
Speakers
Yali Sassoon
Co-Founder and Chief Product Officer, Snowplow
Luke Ambrosett
Sr. Partner Sales Engineer, Snowflake
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