Clean Origin - Startup Initial BI Framework

Challenge

Clean Origin, a rapidly growing lab-grown diamond retailer, was struggling with fragmented data across multiple systems. Their sales data lived in Shopify, marketing data in various platforms, and financial data in QuickBooks. The lack of a unified view made it impossible to track key metrics like customer acquisition cost, lifetime value, and inventory turnover in real-time.

Solution

We implemented a comprehensive data infrastructure from the ground up. Using Fivetran, we connected all data sources into a Snowflake data warehouse. We then built a semantic layer using DBT to transform raw data into business-ready datasets. Finally, we deployed Looker for self-service analytics, creating dashboards for sales performance, inventory management, and customer analytics.

Results

• Reduced time to insights from days to minutes
• Achieved 360-degree view of customer journey
• Improved inventory turnover by 32% through better demand forecasting
• Enabled data-driven decision making across all departments
• Decreased report generation time by 85%