90,000+ items 500+ 50B Leadership wanted quicker insight and a single source of truth. Here were some of the existing issues Sales, stock, and promo files lived in separate systems—making every report a hunt. Teams queued nightly SaS jobs and still relied on third-party extracts for ad-hoc questions. No clear view of how discounts pushed or hurt demand and margin. Impact Delivered Hourly loads replace overnight One Snowflake view ends ad-hoc Pricing guided by elasticity signals We built a cloud warehouse and price-elasticity engine in 100 days that consisted of the following components: Python and Airflow landed 50 billion SaS rows in Snowflake, ready for near-real-time queries. Tableau pulls Hyperion data directly, aligning reports across departments. Python models test price moves and highlight margin risk before campaigns launch. New data sets plug in fast; no rewrite needed.
offered online across
categories
employees across North
America
transaction rows migrated Business Case
Data silos
Long waits
Pricing blind spots
80% faster
dashboard
creation
batches90% fewer manual
data pulls
extracts15% uplift promo-margin accuracy
Our Solution
Cloud warehouse
Unified reporting
Price elasticity modelling
Reusable ingestion framework
Tech Stack
Snowflake
Hyperion
Python
Tableau
Airflow
SaS
