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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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Predictive and Qualitative ReportUniversity of PhoenixDat/565 Data Analysis and Business AnalyticsReport Objective 06:31:26 GMT -05:00The 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 ...

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  • November 30, 2024
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Predictive and Qualitative Report

University of Phoenix

Dat/565 Data Analysis and Business Analytics




Report Objective




06:31:26 GMT -05:00

, 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 square foot, loyalty card usage, and sales growth. Below is a breakdown of

our observations and recommendations. The mean and median values indicate the central




06:31:26 GMT -05:00

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