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Case Study

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

Challenges

Slow, Costly Ad-Hoc Reporting
Running direct SQL queries against large Aurora tables caused:
  • Multi-minute response times
  • Production database CPU spikes
  • Risk to transactional workloads
  • 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
  • Configured QuickSight to ingest from each Aurora MySQL cluster.
  • Scheduled incremental refreshes every 5–15 minutes.
  • Stored key tables in SPICE's in-memory engine for rapid access.
Cross-Database Joins Without Aurora Load
  • Joined tenant, batch, and campaign tables from multiple SPICE sources.
  • Created unified dashboards spanning tenants and regions, previously impossible via SQL.
Live Dashboards & Alerting
Built real-time dashboards for:
  • Campaign engagement (CTR, open rate, bounce rate)
  • Batch processing success/failure
  • Top-performing tenants

Configured threshold-based alerts and anomaly detection via QuickSight to notify teams of performance issues instantly.

Empowered Self-Service Analytics
Enabled marketing, support, and sales teams to:
  • Build ad-hoc visuals (funnels, heat maps, time series)
  • Answer business questions without engineering involvement
  • Answer business questions without engineering involvement

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

  • Amazon QuickSight with SPICE – Fast, in-memory analytics with native alerting
  • Amazon Aurora MySQL – Source-of-truth for high-volume campaign data
  • Amazon CloudWatch – Monitoring of ingestion jobs, metrics, and health checks
  • AWS IAM – Fine-grained, role-based access to data sources and dashboards

Why Choose Factual Minds?

  • As an AWS Premier Consulting Partner, Factual Minds brings deep expertise in data lake architecture, operational dashboards, and analytics cost optimization. By implementing a real-time analytics pipeline with QuickSight SPICE, we helped TargetBay eliminate reporting lag, reduce Aurora overhead, and put insights directly into the hands of business users.

Get Started Today

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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