Case Study

How Factual Minds Helped TargetBay Unlock Fast, Cross-Tenant Insights with Amazon QuickSight SPICE

Challenges

Running direct SQL queries against large Aurora tables caused:
Fragmented Data Architecture
Customer and event data was distributed across multiple Aurora clusters, preventing unified reporting or cross-region analysis.
Delayed Error Visibility
Campaign or batch job failures were only discovered during next-day reporting, delaying response and resolution.

Solution Provided by Factual Minds

Factual Minds implemented Amazon QuickSight with SPICE to deliver high-speed dashboards, cross-cluster insights, and real-time alerts—all while offloading compute from Aurora.
SPICE-Backed Data Ingestion
Cross-Database Joins Without Aurora Load

Live Dashboards & Alerting

Built real-time dashboards for:

Empowered Self-Service Analytics

Enabled marketing, support, and sales teams to:

Results & Benefits

Metric or Capability
Before
After with QuickSight SPICE
Query Performance
2–5 min per dashboard
< 1 sec interactive dashboard refresh
Database Impact
High Aurora CPU usage
Zero impact—SPICE handles all queries
Cross-Tenant Analysis
Not supported
Multi-cluster joins in SPICE
Error Response Time
Delayed by hours
Immediate alerts via QuickSight
Team Autonomy
Engineering bottleneck
Business users build their own reports

AWS Services Used

Why Choose Factual Minds?

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Looking to enhance your development team’s efficiency with Amazon Q? Contact Factual Minds today for expert guidance and seamless implementation!
Client Overview
TargetBay is a SaaS marketing automation provider whose BayEngage platform powers campaign delivery for over 4,500 e-commerce merchants. The platform captures billions of campaign events—opens, clicks, bounces, and orders—within Amazon Aurora MySQL. Internal teams rely on real-time insights to monitor performance, troubleshoot issues, and drive business decisions across global operations.

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