TGI Fridays Data Analysis
DATA ANALYSIS
After defining the standards and measuring the results it was time to analyze the data to determine if it supported our initial assessments of each dining experience. Our intuition was that Chili’s served the best French fries, but that TGI Fridays provided the best service and customer satisfaction. To be sure we needed to cross reference our feelings with actual data. In cases where there was more than one measurement for a given dimension (i.e. Aesthetics, Tangibles), the data was combined and represented with one numerical value. In most cases, a relative scale of 1 - 3 was used (1 = low, 3 = high). Although, some of our measurements were based on simple “yes/no” answers while others were based on time and dimensions.
Some of the raw data was compiled and then graphed in order to better understand the implications. The chart and graphs below display …show more content…
As initially expected, the analysis proved that the best French fries were from Chili’s (overall score of 3.0) while the best service was from TGI Fridays (overall score of 2.8). The data analysis proved that the best-in-class French fries were not produced by the restaurant with the best service. Further analysis of the correlation between product quality and service quality was necessary in order to understand current trends in the industry. Regression analysis was used to identify correlation between restaurants’ scores on product and service quality. This can be seen in the analyses and graph below.
The results of regression analysis indicated that product quality and service quality are negatively correlated with coefficient -0.8924. It means that positive changes in quality of service result in negative changes in quality of French fries. The R squared of the model is 0.9986, which means that 99% of changes in quality of French fries could be explained by changes in quality of
After defining the standards and measuring the results it was time to analyze the data to determine if it supported our initial assessments of each dining experience. Our intuition was that Chili’s served the best French fries, but that TGI Fridays provided the best service and customer satisfaction. To be sure we needed to cross reference our feelings with actual data. In cases where there was more than one measurement for a given dimension (i.e. Aesthetics, Tangibles), the data was combined and represented with one numerical value. In most cases, a relative scale of 1 - 3 was used (1 = low, 3 = high). Although, some of our measurements were based on simple “yes/no” answers while others were based on time and dimensions.
Some of the raw data was compiled and then graphed in order to better understand the implications. The chart and graphs below display …show more content…
As initially expected, the analysis proved that the best French fries were from Chili’s (overall score of 3.0) while the best service was from TGI Fridays (overall score of 2.8). The data analysis proved that the best-in-class French fries were not produced by the restaurant with the best service. Further analysis of the correlation between product quality and service quality was necessary in order to understand current trends in the industry. Regression analysis was used to identify correlation between restaurants’ scores on product and service quality. This can be seen in the analyses and graph below.
The results of regression analysis indicated that product quality and service quality are negatively correlated with coefficient -0.8924. It means that positive changes in quality of service result in negative changes in quality of French fries. The R squared of the model is 0.9986, which means that 99% of changes in quality of French fries could be explained by changes in quality of