The Challenge
RetailMax, a retail chain with 200+ locations, had data everywhere—POS systems, inventory management, e-commerce platform, marketing tools—but no way to see the full picture. Monthly reports took weeks to compile, and by the time decisions were made, the data was stale.
The Mess We Inherited
- 12 different data sources with no integration
- Reports created manually in Excel
- No one trusted the numbers because they never matched
- IT backlog of 6+ months for any new report requests
Our Approach
We designed and built a modern data platform from the ground up:
Data Integration Layer
- Connected all 12 data sources with automated pipelines
- Implemented data quality checks and alerting
- Created a unified data model across all sources
Analytics Infrastructure
- Built a cloud data warehouse optimized for analytics
- Implemented incremental processing for near-real-time updates
- Set up proper data governance and access controls
Self-Service Tools
- Deployed user-friendly dashboards for different teams
- Trained power users to create their own reports
- Documented everything so the team could maintain it
The Transformation
Before: Monthly sales report took 2 weeks to compile After: Real-time sales dashboard updated every 15 minutes
Before: Marketing couldn’t measure campaign ROI After: Attribution dashboard shows impact within hours
Before: Inventory decisions based on gut feeling After: AI-powered demand forecasting reduces stockouts by 30%
Long-Term Impact
The platform has become the foundation for all data-driven decisions at RetailMax. They’ve since added predictive analytics, customer segmentation, and automated reporting—all built on the infrastructure we created.
“We went from flying blind to having a crystal-clear view of our business. It’s transformed how we operate.” — CEO, RetailMax