Case Study: Wineshipping boosts data adoption with Databricks AI/BI Dashboards

Democratizing data access with self-service dashboards

Wineshipping, a leading logistics provider serving 1,500 U.S. wine brands, struggled with fragmented data and legacy Power BI reports that were difficult for business users to modify. By turning to Databricks and its AI/BI Dashboards, the company aimed to centralize data and make analytics more accessible across the organization.

Databricks helped Wineshipping migrate all data to the Databricks Data Intelligence Platform and organize it with a medallion architecture, creating a single source of truth. With Databricks AI/BI Dashboards, users could build and edit visualizations through a simple low-code interface, refresh data every 15–30 minutes, and avoid the old BI request backlog, driving faster decision-making and broader self-service adoption.

Wineshipping

Christina Mottolo

Vice President of Enterprise Applications