Data Warehousing & Analytics Case Stud
Building A Single Source Of Truth For A Scaling Saas Startup
The Background
The same SaaS company had customer data scattered across:
- Marketing tools
- CRM
- Product analytics (Mixpanel/Amplitude)
- Billing platform
- Support system
- Server logs
Each team saw only their piece of the story. None had the full picture.
As the company scaled, decision-making became inconsistent and delayed.
The Problem
Marketing Didn’t Know Which Campaigns Actually Converted
Product Team Worked Blindly
Leadership Had No Real-Time KPIs
No Cohesive User Journey Visibility
Why a Data Warehouse Became Critical
The CTO said:
“Every team has their truth. We need one truth that everyone trusts.”
This pushed the company to invest in a proper SaaS Data Warehouse.
Cor Advance Data Solution
We built a dual-engine AI platform for the SaaS company
CRM data
- Web analytics
- Email engagement
- Trial activity
- Company size & industry fit
- Behavioral patterns of past converters
Product events
- Usage depth
- Feature adoption
- Login frequency
- Support queries
- Account configuration behavior
Billing lifecycle
Suggests optimal overbooking, sends automated WhatsApp/SMS reminders, and alerts staff of high-risk patients.
Support tickets
- Web analytics
- Email engagement
- Trial activity
- Company size & industry fit
- Behavioral patterns of past converters
Email engagement
- Usage depth
- Feature adoption
- Login frequency
- Support queries
- Account configuration behavior
Trial activity
Suggests optimal overbooking, sends automated WhatsApp/SMS reminders, and alerts staff of high-risk patients.
Implementation Journey
Weeks 1-2
Discovery & Requirement Analysis
Reporting time reduced from 5 hours → 5 minutes
Week 4
Blockchain Strategy & Planning
CAC visibility improved marketing ROI
Week 6
Smart Contract & DApp Development
Product decisions became data-backed
Week 8
Smart Contract & DApp Development
Leadership got real-time business health indicators
Transformation & Results
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