Saturday, June 17, 2017

Take a bite of THIS.. an intro

 Wendy’s chooses a Web Perspective






We have all had a Wendy’s burger, delicious hot yummy whatever you use to describe it, you’ll definitely find yourself there if you have a craving. Wendy’s like most large chain food establishments recently have shifted over and started using metrics and big data to lead to better decision making and cut costs.

Wendy’s has currently enlisted in something called WebFOCUS. This is a business intelligence platform that Wendy’s data analytics team uses to look at daily food sales metrics and even labor costs. Corporate wide, Wendy’s now uses WebFOCUS to reduce operating costs. Each individual restaurant can now gain unique insights through WebFOCUS.

The system has rolled out to district managers, operations personnel, and executives at Wendy's headquarters. The company is in the process of expanding to all managers at its company-owned restaurants. Wendy's data analytics team has also deployed WebFOCUS for 6,000 franchise restaurant locations. Approximately 2,500 Wendy's international and domestic franchises currently use WebFOCUS dashboards, with more franchise locations voluntarily adopting the new system every month.”

So what’s all that mean? Wendy’s data analytics is changing the game quite simply. Their old systems were limited to restaurant level, now all levels of management can view food sales and food service metrics thoroughly from top to bottom. Information is refreshed at least 6 times a day in order for restaurant managers to keep close tabs on food metrics and exactly what is going on.

"They can make labor-scheduling decisions, determine if they need to prepare more food for the rest of the day, and get an overall sense of sales," says Trisha Bridger, IT development manager at Wendy's.


A great example of using this data would be analyzing a lunch rush, right after it happened. This way managers can see what types of food were purchased most frequently, and at what exact times. In the future they will know if they need more staff at a certain time, or if they need to have more foods prepared if a certain item is more popular than others. 

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