Industry
Retail & Consumer
Retail and consumer businesses live and die by understanding customers and demand. We build the data platforms and models behind forecasting, personalization, pricing, and global marketing analytics.
Industry challenges
- Fragmented data across markets, channels, and brands
- High-volume transactional and behavioral data
- Need for fast, reliable analytics and experimentation
How we help
- Unified, governed data models across markets and channels
- Scalable pipelines for transactional and behavioral data
- Analytics and ML for demand, pricing, and personalization
Selected work
Booking.com
Customer-360 insights for the accommodation room-selection funnel
Built the data pipeline behind a customer-insights dashboard, aggregating room-selection funnel events into analytics tables on customer engagement across desktop and mobile web — plus the data models that standardize how travel products are represented.
Henkel
A governed serving layer for global marketing & sales steering
Delivered the data backend for a global steering-and-reporting platform: governed serving views and fact tables on Databricks that business apps consume for account mapping, sales pipeline, opportunities, orders, and market modeling across business units.
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