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

[@toprecommanded1169]

Please make a tutorial on "How to build a Digital Analytics (through Google Analytics Data) Data Science Product and making a machine learning app in python for deployment and wanted to show a management 10% sales increase and make a decision". Thank you

[@omarhossam285]

can you provide your contacts I have some questions I wanna ask