Demographics Predicting Use of Funds
\citet{Nayga_1996} analyzed how people were allocating money used for food away from home.  He determined that consumers in the US were spending around 300 billion dollars on the consumption of food away from home.  The company that I am completing this assignment for, manufactures and distributes foods to a wide variety of food away from home (FAFH) operators.  Operators are the companies that dispense the food products to the consumer.  Operators include full service, quick service, fast casual, pubs, clubs, and bars, non-commercial, contract managers, and other distributors.  A consulting firm called L.E.K. conducted a consulting US foodservice operators study in 2014 and  there were 3 main findings of promoting operator business from manufactures and distributors \citep{Piccoiola14}.  Operators need companies to have a better understanding of operators needs, more customized solutions, and more frequent visits from manufacturer reps .  These findings are consistent with ideas discussed in \citet{Nayga_1996}.  In order to keep up with recent trends in consumer demand, a complete understanding of away from home consumption patterns in the US is needed.  The FAFH industry appears to be continuously interested in creating a vast array of concepts that appeal to specific consumer tastes and preferences.  Therefore,  it is imperative that the demographic and socioeconomic profile of individuals be known by the industry that serves them.  
 
Conclusions
The clustering analysis, geocoding, and symbology overlay should provide indications of any correlations between median income clustering and current operator usage.  The software that is currently available through ArcGIS will be sufficient to carry out all analysis if the data is in the correct format prior to the tools being run.  The software could additionally could provide hot spots of product use if the usage is coded into specific ranges which could provide information as to where to focus marketing.
This social/economic study applies reasoning of a scientific nature to a phenomenon that a company is currently attempting to better understand.  If this question can be answered it has the potential to save the company in operating costs, how much waste is produced, and the time it takes to find new business.  It would allow their sales associates to be more productive in less time and allow them more opportunities to find untapped markets.  By applying a working hypothesis to the question, it will allow for the method developed to be applied to other territories if needed.  It also leaves several options to look at different demographic or societal factors once the preliminary work has been completed.