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Econ 1203 Project - Breezyrealty Case Study

Autor:   •  May 25, 2016  •  Case Study  •  1,220 Words (5 Pages)  •  1,059 Views

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BREEZYREALTY

Quantitative Report

Name:

Student ID:

Tutorial time: Wednesday 12-2pm

Tutor name: Michael Wong

Table of contents

  1. Executive summary…………………………………………………………………………………………….
  2. Key performance indicators/Variables………………………………………………………………..

Age of properties against time ……………………………………………………………………………

Distance frequency distribution for properties being sold………………………………….

Type of properties sold……………………………………………………………………………………….

Performance of each sales agent………………………………………………………………………..

Customer Satisfaction…………………………………………………………………………………………

  • Graphical analysis…………………………………………………………………………………………..
  • Hypothesis testing…………………………………………………………………………………………
  1. Recommendations and Conclusion………………………………………………………………………

Table of contents

  1. Executive summary………………………………………………………………….. 1
  2. Key performance indicators/variables……………………………………… 1

Age of property and time…………………………………………………………… 2

Distance for properties being sold and time………………………………. 2

Type of properties sold………………………………………………………………. 4

Performance of each sales agent………………………………………………… 4

Customer satisfaction…………………………………………………………………. 5

  • Graphical analysis………………………………………………… 5
  • Hypothesis testing……………………………………………….. 6
  1. Recommendations and conclusion……………………………………………… 7

  1. Executive Summary

This report has been prepared by Crunch-It Consultants on behalf of BreezyRealty, a real estate agency company based at the eastern suburbs. It provides analysis of 6 variables of customer/agent data from a sample of 293 customers who chose to sell their properties with BreezyRealty real estate.

Specifically, BreezyRealty wanted to determine continual running of business and likelihood of receiving “word-to-mouth” referrals and the expectancy of at least 80% of customers presented in the data to be satisfied or very satisfied with this agency. Other variables such as time taken to sell properties were tested against their ages and proximities from the beach. The finding made suggest that the properties ages around 12 years and the closer proximity to the beach had the most likelihood of being sold. Also, the performance of 4 sales agents were compared against one another, out of which agent 2 was perceived as the underperforming employee. The different types of properties were also displayed in a pie chart.  

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