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Overall, the company has 1,500 full-time employees. Today, his team of about 20 people support just under 400 people, he said. When Lee started working at Chick-fil-A, he only supported a dozen users at the company-that quickly expanded to 50 people, and within two years Lee's department supported had 200 people. The importance of this data-driven work is expanding. You just take baby steps and keep adding on to that," he said. And I think that's how we've been able to transform data and data analytics at Chick-fil-A because of that. "We start to ask much better questions once you have something in front of people. The GIS mapping allows everyone to see the stores spatially, with analytics tools such as what the customers look like, the size of the trade area, how far customers are coming from, or why they're underperforming in an area where, Lee said, "we know soccer moms are living there, but why do they not tend to come from this one particular area.

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SEE: America's coolest company: How Big Ass Fans went from cooling cows to a multinational tech powerhouse (TechRepublic cover story) | Download the PDF version When you have a painting in front of them, they say, 'oh, I can see this tree,' and they can start asking better questions." So what we've ended up doing is initially saying, 'we'll paint the entire painting for you,' and that's when they have an aha moment. Most people have a really hard time visualizing the finished product. It's almost like saying, 'I will paint you this painting,' and you will describe to them the blank canvas. Lee compares the difference in the old way versus GIS mapping on the Esri platform: "In a technical state, unless you've worked in it, you tend to lose people.

So immediately there was inherent value in going that route." As a company that's built brick-and-mortar stores, anyone benefits from being able to see stores on a map. There's redundancy here, we can clean this up.' That's when we decided, well everything should be real time, everything can be updated on an app, everything should flow across servers, and all the data should be shared across the entire organization. Lee recalled, "The first day at my job, I was walking through a hall and one of my co-workers was at the copy machine printing out a map, and I was like,'why are you printing out a map? Don't we have an app for that yet?' They're like, 'no, we just print this out, and you Google map in the field and make note on pen and paper, come back to the office, and input it into the system.' I was like, 'hey, this is not the way we should do this. This is a complete transformation from how the company used to determine new restaurant sites before Lee joined the company in early 2013. So that visibility across the business helps really drive much better decisions much more quickly," Lee said. And all the data is updated in either real time or near real time as it comes in. We can drill down to region, to designated market areas, to counties, just flashing by this data very quickly. Obviously we know how they're performing and trending compared to other stores in the chain. "We strategize the entire country of every intersection where we would like to be. SEE: Ebook-Digital transformation: A CXO's guide (TechRepublic)Įvery new store opening is being assessed using this new data, and it's one of the reasons Chick-fil-A finally entered the New York City market in October 2015 and opened a second location in April 2016. And that's great and all, but really what we're trying to do is trying to figure out, find the signals from the noise within such a large data set, and that's where really advanced spatial technologies and big data servers are really paving the way for how we continue to apply our methodology and foundation, and doing it at a much larger scale." You're thinking about billions and billions of records.

We're looking at really large data sets at this point. We're looking at transactional levels of data. "Let's say we can get data from cell phone providers or other sources of data. On top of the data we collect, we do intercept surveys, or now we're really going for more automated technologies," Lee said. And now we're trying to look at more and more data. "Everything we're doing is data-driven decisions.