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SaaS DataFlow Analytics

DataFlow Analytics: From Data Chaos to 4x Faster Insights

Challenge
Scattered data across 12+ tools, no single source of truth, reporting took days
Solution
Snowflake + dbt + Looker implementation
Results
80% faster reporting, 4x more insights, 90-day implementation

The Challenge

DataFlow Analytics, a fast-growing SaaS company with 150+ employees, was drowning in data. Their analytics were scattered across 12+ different tools:

  • Google Analytics for web traffic
  • Mixpanel for product analytics
  • Stripe for payment data
  • Salesforce for CRM
  • HubSpot for marketing
  • Zendesk for support
  • And 6+ more sources

The Problem:

  • No single source of truth
  • Reporting took 2-3 days to compile manually
  • Data inconsistencies across tools
  • Product team couldn't answer basic questions about user behavior
  • Executive team lacked visibility into key metrics

The Solution

We implemented a modern data stack in just 90 days:

Phase 1: Data Warehouse (Weeks 1-4)

  • Set up Snowflake as the central data warehouse
  • Connected all 12 data sources via Fivetran
  • Established data governance and quality checks

Phase 2: Data Transformation (Weeks 5-8)

  • Built 50+ dbt models to transform raw data into analytics-ready tables
  • Created unified customer, product, and revenue models
  • Implemented automated data quality tests

Phase 3: Business Intelligence (Weeks 9-12)

  • Deployed Looker as the BI platform
  • Built 20+ dashboards for different teams
  • Trained 30+ users on self-service analytics

The Results

Speed

  • 80% reduction in reporting time (from 2-3 days to 2-3 hours)
  • Real-time dashboards instead of weekly reports
  • Self-service analytics for product and marketing teams

Insights

  • 4x increase in actionable insights discovered
  • Unified customer journey view across all touchpoints
  • Automated anomaly detection for key metrics

Business Impact

  • Product team reduced churn by 15% using behavioral insights
  • Marketing improved CAC by 22% with better attribution
  • Executive team now has real-time visibility into business health

Technical Stack

  • Data Warehouse: Snowflake
  • ETL: Fivetran
  • Transformation: dbt
  • BI: Looker
  • Data Sources: GA4, Mixpanel, Stripe, Salesforce, HubSpot, Zendesk, and more

What Our Client Said

"Logizly transformed how we think about data. What used to take days now takes minutes, and we're discovering insights we never knew existed. The team was professional, fast, and truly understood our business needs."

— Sarah Chen, VP of Product, DataFlow Analytics

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