Case Study: Sleeping Duck achieves data-driven decision making with Fivetran and Snowflake

Fivetran and Snowflake enable data-driven decision making for Sleeping Duck

Sleeping Duck, an Australian mattress retailer, needed a better way to manage growing volumes of data spread across dozens of cloud apps, marketing platforms, web tools, and internal systems. As the company expanded, manual scripting and custom engineering work to extract and maintain data pipelines became unsustainable, slowing the team’s ability to make fast, data-driven decisions.

Using Fivetran with Snowflake, Sleeping Duck automated data movement from more than 70 sources into a central cloud data warehouse, where the data could be analyzed and shared across the business. Fivetran enabled near real-time syncing and freed engineers from maintaining custom scripts, helping Sleeping Duck optimize marketing spend, streamline the customer journey, and improve customer support with a 360-degree view of each customer.

Sleeping Duck

Chao Li

Data Scientist