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In this episode, we break down A Beginner’s Guide to the Role of Augmented Analytics in Consumer Behavior Analysis—showing how tools powered by AI/ML, NLP and large data storage (data lakes, ECMs) help companies go beyond traditional metrics to decode what consumers don’t say: emotions, tone, silences, context. We explore the journey from raw data to intelligence—including data preparation, applying augmented analytics, and turning insights into action—so brands can stay adaptive, predictive, and deeply relevant. https://blog.datamatics.com/a-beginners-guide-to-the-role-of-augmented-analytics-in-consumer-behavior-analysis (blog.datamatics.com)
By DatamaticsIn this episode, we break down A Beginner’s Guide to the Role of Augmented Analytics in Consumer Behavior Analysis—showing how tools powered by AI/ML, NLP and large data storage (data lakes, ECMs) help companies go beyond traditional metrics to decode what consumers don’t say: emotions, tone, silences, context. We explore the journey from raw data to intelligence—including data preparation, applying augmented analytics, and turning insights into action—so brands can stay adaptive, predictive, and deeply relevant. https://blog.datamatics.com/a-beginners-guide-to-the-role-of-augmented-analytics-in-consumer-behavior-analysis (blog.datamatics.com)