Difference between revisions of "G1-Group12 Proposal"
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Our aim is to derive insights from profiling trade areas of individual pizza stores, to better understand the characteristics of a trade area that contribute to better sales. We began by digitising and delineating the existing operational trade areas, before analysing the points of interests within these trade areas, and comparing the characteristics of stores with high sales volume to that of stores with low sales volume, to generate insights for our client. | Our aim is to derive insights from profiling trade areas of individual pizza stores, to better understand the characteristics of a trade area that contribute to better sales. We began by digitising and delineating the existing operational trade areas, before analysing the points of interests within these trade areas, and comparing the characteristics of stores with high sales volume to that of stores with low sales volume, to generate insights for our client. | ||
| − | <div style="background: # | + | <div style="background: #87CEFA; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.1em;font-size:26px"><font color=#ffffff face="Arial">Data Collection</font></div> |
<div style="text-align: center; padding: 15px; line-height: 1em;font-size: 20px; width: 95%;"><font color=#385380">Scope of Work</font></div> | <div style="text-align: center; padding: 15px; line-height: 1em;font-size: 20px; width: 95%;"><font color=#385380">Scope of Work</font></div> | ||
<div style="text-align: center; padding: 15px; line-height: 1em;font-size: 20px; width: 95%;"><font color=#385380">Project Schedule</font></div> | <div style="text-align: center; padding: 15px; line-height: 1em;font-size: 20px; width: 95%;"><font color=#385380">Project Schedule</font></div> | ||
[[File:Gantt.jpg|999px|center]] | [[File:Gantt.jpg|999px|center]] | ||
Revision as of 14:14, 17 October 2019
Project Motivation
Our aim is to derive insights from profiling trade areas of individual pizza stores, to better understand the characteristics of a trade area that contribute to better sales. We began by digitising and delineating the existing operational trade areas, before analysing the points of interests within these trade areas, and comparing the characteristics of stores with high sales volume to that of stores with low sales volume, to generate insights for our client.
Data Collection
Scope of Work
Project Schedule
