Event Details
This panel will provide expert insights into how restaurants can leverage their analytics to inform business decisions, improve customer satisfaction, and increase their revenue. Our moderator will ask our panel of experts about their advice on effective strategies for restaurants to integrate their systems for effective data warehousing, what data analytics can tell us about the future viability of pop-up restaurants, and how to improve customer retention.
Join us for this FREE event where you will have insider insights into the most pressing issues facing the restaurant industry.
Panel Takeaways: -Find out how the pandemic has impacted the restaurant industry -Learn how to leverage analytics to boost restaurant performance -Understand how restaurants can target customers more effectively
About the Speakers: -Dr. Cervantes Lee: Former investment director at Panda Express; USC Education Doctor focusing on the restaurant concept growth and business analytics
-Dr. Jane Zhang: Director of Tourism and Strategy at Richard Nixon Foundation; Former professor at California State Polytechnic University Pomona; Ph.D. in Hospitality Management at Purdue University
Moderated by Bob Bender, Director of Sales and Business Development, RMDS La
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- Sunday — October 17, 2021
11:00AM - 12:00PM - Virtual
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Research Methods and Data Science Meetup
This Research Methods and Data Science (RMDS) meetup group is devoted to make big data & AI useful, and to promote big data technologies. It is a meet-up group bringing together people from research methodology, data science, data professional services, AI and computing in the greater Los Angeles area.
The focus of the group is about utilizing big data & AI technologies to improve data analytics & research for social good, and to promote research methods and data science innovation. On a regular base, we run workshops on big data analytics that can be applied to model and visualize open data and other complicated big data sets. Also, we will organize special meetings to discuss special data science projects, as well as data science automation and augmentation.