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Summary Predictive and Qualitative ReportUniversity of PhoenixDat/565 Data Analysis and Business A $7.99   Add to cart

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Summary Predictive and Qualitative ReportUniversity of PhoenixDat/565 Data Analysis and Business A

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DAT 565 Predictive and Qualitative ReportPredictive and Qualitative ReportUniversity of PhoenixDat/565 Data Analysis and Business AnalyticsReport ObjectiveThe objective of this report is to analyze and understand the data collected by Pastas Us, inc. to make an effective recommendation for future g...

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  • October 6, 2024
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  • 2024/2025
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Predictive and Qualitative Report

University of Phoenix

Dat/565 Data Analysis and Business Analytics




Report Objective

The objective of this report is to analyze and understand the data collected by Pastas Us, inc.

to make an effective recommendation for future growth of the company as well as their

current and future marketing position. This report will also allow us to capture data that can

be investigated to determine the relationship between several variables such as age, income,

and education levels, the primary goal is to determine which variable is most effective to help

increase profit and potential sales Nature of current data This report utilized data from 74

different Pastas R Us restaurants, the data collected analyzes the average percentage of adults

with degrees, the income and age median, and sales/growth percentages as it relates to the

company loyalty card program. Descriptive statistical findings We found that the median age

of customers in the 3-mile radius of Pastas R Us restaurants is between 35 years old. The

median income of households within the 3-mile radius is 62757 Additionally, 27 % or more

of the adult population within the 3-mile radius is college educated. Analysis of Demographic

Variables and Recommendations for Pastas R Us, Inc. In our comprehensive analysis, we

delved into the relationships between demographic variables and key business metrics for

Pastas R Us, Inc. Our findings provide valuable insights into the factors influencing sales per

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