Case Study · Data Analytics
Real-time insight,minutes not weeks
We unified a retailer’s scattered data into a single real-time analytics platform — collapsing week-long reporting cycles into on-demand answers and giving merchandising teams forecasts they could actually trust.
The challenge
Data everywhere, answers nowhere
The team pulled numbers from dozens of systems by hand, so a single cross-channel report took the better part of a week — and by the time it landed, the window to act on it had closed. Definitions drifted between teams, and no one fully trusted the forecast.
We built a governed data platform with a shared semantic layer, streaming pipelines for time-sensitive metrics, and ML forecasts embedded directly in the dashboards merchandisers already used.
- One trusted source of truth
- Self-serve dashboards for every team
- Live metrics for time-critical calls
- Forecasts built into daily workflows
What we built
The solution
Unified Pipelines
Unified PipelinesTested ELT pipelines consolidating 40+ sources into one governed warehouse.
Live Dashboards
Live DashboardsSelf-serve BI with a shared semantic layer so metrics mean the same everywhere.
Demand Forecasting
Demand ForecastingML models lifting forecast accuracy 18% and embedded where teams decide.
“We went from spreadsheets to a live forecasting engine. Decisions that took a week now take an afternoon.”
Daniel Kim · Head of Data