In the previous
post, I wrote about JMP statistical software and how McDonald’s leverages it. In
this article, I am going to write about McDonald’s and its predictive analysis.
According to
Cramer, JMP software allows his team to get better understanding of data through
visual representation and use data visualization to predict customer behavior
and trends successfully.
Senior Industry
Advisor of Retail, Hospitality and Consumer Goods Industry Strategy in EMEA at
Intel, David Dobson said: “Today's retailers all understand the importance of
analytics but the biggest challenge is having the correct tools to collect
information and having a skilled workforce who understand data and extract
value from it”
McDonald’s uses
analytics and it relies on its data to measure restaurant performance, and make
decisions related to equipment, location, human resources, and the supply chain.
McDonald’s uses
various technologies and techniques in order to obtain successful predictions
such as:
-
Video
Analytics, helps to track time that customers spent in the store on
drive-through for use in process and conditions measurement
-
Quantitative
video ethnography, in order to learn the behavior of people using its
drive-through lanes
-
Eye
Tracking, by tracking customers’ behavior in store and try to answer some
questions for instance, what are their interactions with the
order-takers? After they place orders, what are they doing?
For more on this, click here
interesting! Although, the eye tracking sounds a bit creepy.
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