Session
Sponsored by: Coalesce | From Raw Data to Real-Time Retention: Powering Customer Health Scores on Databricks
Overview
| Experience | In Person |
|---|---|
| Type | Breakout |
| Track | Data Engineering and Streaming |
| Industry | Enterprise Technology, Retail and CPG - Food, Financial Services |
| Technologies | Delta Lake, Databricks SQL, DLT |
| Skill Level | Beginner |
| Duration | 40 min |
Understanding customer engagement and retention isn’t optional—it’s mission-critical. Join us for a live demo to see how you can build a scalable, governed customer health scoring model by transforming raw signals into actionable insights. Discover how Coalesce’s low-code development platform works seamlessly with Databricks’ lakehouse architecture to unify and operationalize customer data at scale. With built-in governance, automation, and metadata intelligence, you’ll deliver trusted scores that support proactive decision-making across the business. Why Attend?
- Accelerate time-to-insight with automated, low-code transformations
- Build repeatable, enterprise-grade scoring models with full data lineage
- Ensure governance, transparency, and compliance at every step