Difference between revisions of "G1-Group12"
Jump to navigation
Jump to search
| Line 1: | Line 1: | ||
| + | <div id="mw-content-text" lang="en-GB" dir="ltr" class="mw-content-ltr"><div class="mw-parser-output"><center> | ||
| + | <table style=""background-color:white;" width=""80%"|"> | ||
| + | |||
| + | <tr> | ||
| + | <td style="font-family:Roboto, Arial, sans-serif; font-size:16px; text-align: center; border-top:solid #003366; border-bottom:solid #003366;" width="200px"> | ||
| + | <p><font color="#003366"><strong>Home</strong></font> | ||
| + | </p> | ||
| + | </td> | ||
| + | <td style="font-family:Roboto, Arial, sans-serif; font-size:16px; text-align: center; border-top:solid #BBDEF0; border-bottom:solid #BBDEF0" width="200px"> | ||
| + | <p><strong>[[G2-Group01_Proposal|Proposal]]</strong> | ||
| + | </p> | ||
| + | </td> | ||
| + | <td style="font-family:Roboto, Arial, sans-serif; font-size:16px; text-align: center; border-top:solid #BBDEF0; border-bottom:solid #BBDEF0" width="200px"> | ||
| + | <p><strong>[[G2-Group01_Poster|Poster]]</strong> | ||
| + | </p> | ||
| + | </td> | ||
| + | <td style="font-family:Roboto, Arial, sans-serif; font-size:16px; text-align: center; border-top:solid #BBDEF0; border-bottom:solid #BBDEF0" width="200px"> | ||
| + | <p><strong>[[G2-Group01_WebMaps|Web Maps]]</strong> | ||
| + | </p> | ||
| + | </td> | ||
| + | <td style="font-family:Roboto, Arial, sans-serif; font-size:16px; text-align: center; border-top:solid #BBDEF0; border-bottom:solid #BBDEF0" width="200px"> | ||
| + | <p><strong>[[G2-Group01_Report|Project Report]]</strong> | ||
| + | </p> | ||
| + | </td></tr> | ||
| + | |||
| + | </table> | ||
| + | |||
== Project Proposal == | == Project Proposal == | ||
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. | ||
Revision as of 17:01, 16 October 2019
|
Home |
Project Proposal
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.
