Workshop: Pop-Up Data Mart for Sales & Marketing Analysis with Machine Learning

Hands-on Lab - Pop-Up Data Mart for Sales & Marketing Analysis with Built-In Machine Learning

• Attendees must bring their own laptops.

REGISTRATION REQUIRED HERE:
https://eventreg.oracle.com/profile/web/index.cfm?PKwebID=0x720481abcd

AGENDA:
7:00 pm - 7:20 pm: Registration/Food & Beverages/Networking
6:20 pm - 6:30 pm: Short Keynote on
7:30 pm - 8:45 pm: Hands-on Lab – Pop-Up Data Mart
8:45 pm - 9:00 pm: Q&A and Closing Comment

KEYNOTE ABSTRACT:
Experience Oracle’s machine learning and augmented analytics capabilities, which provide the fastest path to turning your raw data into intelligent, actionable insights. The only way that we can rapidly surface the insights we need from mountains of data is to truly put machine learning to work for us.

WORKSHOP ABSTRACT:
During this hands-on workshop, you will rapidly create a Pop-Up Data Mart, use Machine Learning to surface insights, analyze with data visualization, and handoff to marketing for campaigns.
Work with the instructor to pull in elements of machine learning built-in to the Oracle Autonomous Data Warehouse to analyze a sales and marketing dataset and create new visualizations on them:
• Create Pop-Up Data Mart
• Create Association Rules with Machine Learning
• Create Visualizations on Association Rules

WORKSHOP INSTRUCTOR:
Daniel Lay is a Senior Analytics Consultant for Oracle with 15 years of experience in data technologies and visual effects.

Aditi Phadke is Solution Engineer for Oracle and is part of the Hub Solution Engineering team that supports the SMB LOB nationwide.

Wynne Yang is Solution Engineer for Oracle and is part of the Hub Solution Engineering team that supports the SMB LOB nationwide.