From Raw Data to Real-Time Retention - Powering Customer Health Scores on Databricks
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Overview
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Explore how to build scalable, governed customer health scoring models in this 35-minute conference talk that demonstrates transforming raw customer signals into actionable retention insights. Learn to leverage Coalesce's low-code development platform integrated with Databricks' lakehouse architecture to unify and operationalize customer data at enterprise scale. Discover automated transformation techniques that accelerate time-to-insight while maintaining full data lineage and governance standards. Master the implementation of repeatable, enterprise-grade scoring models with built-in metadata intelligence that ensures transparency and compliance throughout the data pipeline. Gain practical knowledge on delivering trusted customer health scores that enable proactive business decision-making across organizations, with emphasis on automation, governance, and real-time operational capabilities for customer retention strategies.
Syllabus
From Raw Data to Real-Time Retention: Powering Customer Health Scores on Databricks
Taught by
Databricks