How do you compete in a world of extreme competition, demanding consumers and a shrinking availability of commercial real estate? Well if you’re Chick-fil-a you mix billions of data records, topped with predictive analytics and a side automation to get targeted locations that meet both the needs of consumers and the organization.
In only a few years Chik-fil-a has completely digitized their site selection and the results have been amazing. Site selection, especially for a restaurant that sees a lot of vehicular traffic is imperative to success. Chik-fil-a historically would take pieces of available data like traffic patterns, potential new development, and physical drive-bys to determine new sites.
Using new technologies, Chik-fil-a is able to import massive data sets into their system to analyze and simplify decisionmaking. Chan Lee, enterprise GIS manager for Chick-fil-A’s strategy and analytics team stated:
We’re looking at transactional levels of data. You’re thinking about billions and billions of records. 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
Lee’s team developed a system to import all the available data sets into one centralized system. Taking into account traffic patterns, mapping data, development plans and even cell phone traffic, the GIS team can overlay relevant information on top of a map to get an informed picture of a potential new site. And so far the results speak for themselves. Chik-fil-a plans on opening 90-100 new locations this year.
Why It’s Hot
Data-driven decision making is a proven way of getting the complete picture, but the challenge today is less about finding and obtaining data – but turning those massive recordsets into something useful. Predictive analytic techniques use historical patterns and real-time information to deliver actionable insights. Combined with AI technologies these data lakes can now be sorted, ranked and used to make informed business decisions