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

Видео Marketing Analytics Using Data Science and AI канала Zepl