Data Products for Qlik Analytics - Data Quality -Semantic Types - Part 5

In this video, we dive into how Click Data Products combine Data Quality, Semantic Types, and business context to create trusted, scalable, and reusable data assets. We explore how semantic types in Qlik help classify and validate data using meaningful business definitions — improving consistency, discoverability, and confidence in analytics and AI-driven insights.

You’ll learn how semantic layers bridge the gap between raw technical data and business-friendly understanding, enabling organizations to define metrics once and apply them consistently across dashboards, reporting, and machine learning workflows. We also cover how stronger data quality practices, metadata enrichment, and semantic modeling help teams build reliable data ecosystems that power self-service analytics, governance, and modern data product strategies.