Part 9/15:
While near real-time lead scoring was a notable success, the broader goal was fostering a comprehensive, self-service analytics environment. To achieve this, a semantic layer was developed—a unified data model serving as the "single source of truth."
Why a Semantic Layer?
Data Harmonization: Different sources and departments often maintain siloed, inconsistent datasets. The semantic layer aligns these into a common, standardized structure, ensuring data integrity and accuracy.
Business-Friendly Abstraction: It enables business users and analysts to access data using familiar business terms without worrying about underlying complexities.