Marketing Analytics Using Data Science and AI

Attacking marketing data with machine learning has yielded some powerful outcomes. Until now, the projects have been mostly rear-view-mirror analysis, but new machine learning models support an open-loop live data operating model. Learn how to use data science and AI for marketing analytics: - Key data repositories in the marketing stack – where are the data? - Normalizing the marketing data ETL process, and staying sane - Moving from manual analytics to live data analysis - Looking for the low hanging fruit in marketing optimizations - Building the marketing ROMI real-time dashboard - Building feedback loops for “lights out” optimization - Maintain a working “Notebook-Based” approach through the lifecycle Speakers: Grover Righter, Chief Data Scientists at Zepl Ganesh Subramanian, Director of Product Marketing at Snowflake