Skill: Databricks — Marketing, Retail, Media Use Cases
source: databricks.com/solutions/industries/marketing + retail + media-and-entertainment extracted: 2026-03-15 applies-to: lakehouse, agents
Marketing — Data Intelligence for Marketing
Core capability: unified customer + campaign data on lakehouse. Key pattern: Composable CDP (warehouse-native activation, no data movement).
- Identity resolution (Amperity: 45min login to completed ID resolution)
- Delta Sharing → martech tools (Salesforce, Adobe, Braze, Hightouch, Census)
- Unity Catalog enforces GDPR/CCPA governance on all marketing data
Retail
Core pattern: unified commerce data (POS + e-commerce + supply chain).
- Real-time personalization (product recommendations)
- Inventory optimization (demand forecasting with DLT + MLflow)
- Loyalty program orchestration
IPAI relevance: Project Scout (sari-sari store analytics) fits retail medallion pattern.
Media & Entertainment
- Audience segmentation (first + third party data unification)
- Content performance analytics
- Ad traffic + performance intelligence (Agent Bricks accelerator)
Shared medallion pattern across verticals
Bronze: raw events (clickstream, transactions, interactions)
Silver: cleansed + identity-resolved
Gold: audience segments, campaign KPIs, attribution models
AI layer: embeddings + recommendations + churn prediction
Activation: Delta Sharing → downstream martech/adtech tools