How to Generate Customer Success Analytics in Snowflake

As the distinction between data professionals and non-data professionals becomes smaller and smaller, the need for technology that bridges the gap between the two parties is crucial. The benefits of interacting with a data warehouse, especially with large amounts of data, are unquestionable, but as a peripheral member of the core technology team who might not be very technical, it is not always practical to generate SQL queries on the fly. 

This poses a problem, especially when departments such as sales, customer success, account management, etc., want the robust insights that could come from the vast amount of data that a company is storing, but they don’t necessarily know how to quickly gather these insights. 

How “User Success” Helps Us Become the Most Active Slack Community

Today, we’re celebrating three important milestones for Airbyte. Within just 7 months of the release of our very first product (MVP), which had only 6 connectors, we became the most active Slack community of data professionals around data integration. This is our first milestone.

As you might already know, we are a transparent company. Every month or so, we publish information on our project and company that would be confidential in other companies, such as: