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内容由Restaurant Technology Guys Podcast, sponsored by Custom Business Solutions, Restaurant Technology Guys Podcast, and Sponsored by Custom Business Solutions提供。所有播客内容(包括剧集、图形和播客描述)均由 Restaurant Technology Guys Podcast, sponsored by Custom Business Solutions, Restaurant Technology Guys Podcast, and Sponsored by Custom Business Solutions 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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Data-Driven Success: Exploring RAD's Impact on Restaurant Operations with Dave's Hot Chicken

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Manage episode 455795900 series 3022332
内容由Restaurant Technology Guys Podcast, sponsored by Custom Business Solutions, Restaurant Technology Guys Podcast, and Sponsored by Custom Business Solutions提供。所有播客内容(包括剧集、图形和播客描述)均由 Restaurant Technology Guys Podcast, sponsored by Custom Business Solutions, Restaurant Technology Guys Podcast, and Sponsored by Custom Business Solutions 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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

  continue reading

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Artwork
icon分享
 
Manage episode 455795900 series 3022332
内容由Restaurant Technology Guys Podcast, sponsored by Custom Business Solutions, Restaurant Technology Guys Podcast, and Sponsored by Custom Business Solutions提供。所有播客内容(包括剧集、图形和播客描述)均由 Restaurant Technology Guys Podcast, sponsored by Custom Business Solutions, Restaurant Technology Guys Podcast, and Sponsored by Custom Business Solutions 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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

  continue reading

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