SupportLogic Launches Data Cloud

SupportLogic this week at the Snowflake Data Cloud Summit launched the SupportLogic Data Cloud, allowing businesses to observe and act on post-sales customer interaction signals directly within Snowflake without data movement.

SupportLogic can connect disparate data sources, normalizing the data, extracting signals, and making accurate predictions. These insights are now securely accessible via Snowflake AI Data Cloud.

Use cases for this new technology include the following:

• Customer health scoring;
• Churn risk prediction;
• Customer journey mapping;
• Post-sales customer marketing and digital customer success automation;
• Building business intelligence dashboards and in-house AI applications; and
• Migrating between CRMs with reverse ETL.

Snowflake customers can now leverage SupportLogic's purpose-built models and workflows with SnowflakeArctic and SnowflakeCortex to build their own generative artificial intelligence models for enhanced workflows and insights.

"SupportLogic's founding vision has always been about unlocking signals from customer interactions and putting them to use for the entire company. With SupportLogic Data Cloud, we're further removing friction and enabling a new set of use cases," said Krishna Raj Raja, founder and CEO of SupportLogic, in a statement. "By directly building on the power of Snowflake AI Data Cloud, we do the heavy lifting for our customers and minimize the time and IT resources required to kickstart the post-sales CX journey from a matter of months to days."