How Datacor built self-service rental analytics with Amazon Quick Sight

This article describes how Datacor built self-service rental analytics using Amazon QuickSight to help gas and welding distributors analyze rental billing data without IT involvement.

• Replaced manual SSRS reports with embedded interactive dashboards and natural language search in TrackAbout application
• Built automated cross-cloud data pipeline ingesting Azure SQL data into AWS S3, Glue, and QuickSight SPICE
• Implemented multi-tenant row-level security to isolate customer data across hundreds of tenants
• Deployed generative BI (Amazon Q in QuickSight) enabling users to ask plain-language questions about rental performance
• Phased rollout starting July 2025 with pilot group, general release November 2025 to 50+ customers
• Enabled revenue recovery by surfacing unreturned assets and billing discrepancies previously hidden in static reports
• Automated onboarding eliminated 15-30 minute manual setup per customer, scaling to hundreds of tenants

The solution demonstrates how embedded analytics with natural language querying can transform data accessibility in multi-tenant SaaS applications while maintaining security and operational efficiency.