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Data-Driven Success: Exploring RAD's Impact on Restaurant Operations with Dave's Hot Chicken
Manage episode 455815713 series 3481871
Treść dostarczona przez Restaurant Technology Guys Podcast, sponsored by Custom Business Solutions, Restaurant Technology Guys Podcast, and Sponsored by Custom Business Solutions. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Restaurant Technology Guys Podcast, sponsored by Custom Business Solutions, Restaurant Technology Guys Podcast, and Sponsored by Custom Business Solutions lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
In this episode of the Restaurant Technology Guys podcast, Jeremy Julian, Chief Revenue Officer of Custom Business Solutions, is joined by Jeff Porter and Ryan Burhorn, co-founders of RAD, a next-generation analytics platform designed for restaurant operators. Their guest, James McGee, CFO and franchisee at Dave's Hot Chicken, shares insights into how RAD helps the rapidly growing brand make data-driven decisions that improve guest and employee experiences. The discussion covers RAD's innovative approach to providing actionable insights from existing data systems, the importance of understanding financial versus productivity metrics, and the critical role of customer sentiment. The episode highlights RAD's customized analytics solutions and how they help franchisees enhance their return on investment while maintaining consistent, high-quality service in a scalable manner.
00:00 Introduction to Today's Episode
01:00 Meet the Co-Founders of Rad
02:00 Introducing James McGee from Dave's Hot Chicken
02:20 The Genesis of Rad
03:24 Rad's Approach to Data Analytics
05:51 Holistic Data Analysis in Restaurants
08:03 James McGee's Journey and Dave's Hot Chicken
09:48 Actionable Data and Productivity Metrics
13:42 Engaging Franchisees with Rad
26:16 Future of Rad and Restaurant Analytics
30:46 Conclusion and Final Thoughts
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