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Three Ways Restaurants can Boost Franchise Performance with Distributed Analytics

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Three Ways Restaurants can Boost Franchise Performance with Distributed Analytics

Maybe I missed my true calling. I love to cook, and while I was in college I worked the kitchen and back office of half a dozen restaurants. To this day, I can hand throw pizza dough into a crust, dice a gallon of onions in two minutes and charge my friends two or three bucks for my chocolate chip cookies. Who knows what might have happened if we’d actually have purchased that joint in Towson, MD in 1988. “Pappa Jeff”, perhaps? Well, while working until 2AM wasn’t a problem, owning my weekends was, so I turned to software, instead. But I do still admire all the new restaurant concepts that I have seen since then. Burritos, wing shops, coffee bars within walking distance, and all day breakfast sandwiches are some of my favorites.

The National Restaurant Association projects that in 2016, the restaurant industry will post sales of $783 billion while employing 14.4 million people across more than one million locations. With competition in the restaurant industry at an all time high, restaurant franchises and brands have to find innovative ways to manage their businesses in order to deliver superior customer experiences that ensure they don't get dropped from prospective patrons’ mental list of meal options. One way restaurant brands can address these challenges is with a solid distributed analytics strategy.

We recently published an article in Fast Casual discussing three key ways that restaurant franchises can use packaged analytics to better leverage their data and drive serious business growth and sustainability by:

  • Increasing employee retention rates
  • Differentiating franchise business model s
  • Improving supplier relations and profitability

Each of these drive revenue and improve patron mindshare, for example customers map employee competency and pride of service to quality of experience. Changes to business models are expanding in many directions, for example, sit-down restaurants are offering catering and delivery services while coffee bars are starting to sell wine to capture the happy-hour crowd. And of course, food quality and freshness has spawned countless new business models--even sushi burritos!

A well-executed analytics strategy can help restaurant franchisees improve efficiencies and increase the revenue impact from each location. By distributing actionable insights throughout your franchise network, brands can help local owners and managers better understand and connect with their market by offering targeted steps for how to increase AUV. Now that really tastes good!

To learn more, check out our guide to Unleashing Restaurant Performance, which goes in detail into using data as a key restaurant differentiator.

Written by GoodData Author  | 

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