Difference between revisions of "G2-Group04 Proposal"
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| Taiwan_stores.gpkg || Contains properties of all 240 Taiwan_stores || GPKG || SMT201_Busines Profiling Project OneDrive Folder || Allocation of Stores | | Taiwan_stores.gpkg || Contains properties of all 240 Taiwan_stores || GPKG || SMT201_Busines Profiling Project OneDrive Folder || Allocation of Stores | ||
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| − | | | + | !scope="row" colspan="5"|<font color="#000000" size=2 font face = "Lato Black"><b>Location Map</b></font> |
|- | |- | ||
| − | | | + | | CC-20171113<br>寬65高43(鋁) || Contains Drive-Time Map of Trade Area CC || Example || Example || Example |
|- | |- | ||
| − | | | + | | CL-20171113<br>寬74高75(木)含框 || Contains Drive-Time Map of Trade Area CL || Example || Example || Example |
|- | |- | ||
| − | | | + | | GM-20171112<br>寬70高70(鋁) || Contains Drive-Time Map of Trade Area GM || Example || Example || Example |
|- | |- | ||
| − | | | + | | HL-20171112<br>寬90高60(鋁) || Contains Drive-Time Map of Trade Area HL || Example || Example || Example |
|- | |- | ||
| − | | | + | | JI-20190102<br>寬72高100(鋁)含框 || Contains Drive-Time Map of Trade Area JI || Example || Example || Example |
|- | |- | ||
| − | | | + | | KC-20180112<br>寬93高102(鋁)含框 || Contains Drive-Time Map of Trade Area KC || Example || Example || Example |
|- | |- | ||
| − | | | + | | MD-20170606<br>寬85高60(鋁) || Contains Drive-Time Map of Trade Area MD || Example || Example || Example |
|- | |- | ||
| − | | | + | | MH-20171110<br>寬80高90(鋁) || Contains Drive-Time Map of Trade Area MH || Example || Example || Example |
|- | |- | ||
| − | | | + | | MJ-20171031<br>寬74.5高60(鋁)含框 || Contains Drive-Time Map of Trade Area MJ || Example || Example || Example |
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| − | | | + | | RS-20171128<br>寬74高74(鋁)含框 || Contains Drive-Time Map of Trade Area RS || Example || Example || Example |
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| − | | | + | | YH-20171112<br>寬80高55(鋁) || Contains Drive-Time Map of Trade Area YH || Example || Example || Example |
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| − | | | + | | YJ-20171214<br>寬62高87(鋁) || Contains Drive-Time Map of Trade Area YJ || Example || Example || Example |
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| − | | | + | | YN-20171016<br>寬60高65(鋁) || Contains Drive-Time Map of Trade Area YN || Example || Example || Example |
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| Example || Example || Example || Example || Example | | Example || Example || Example || Example || Example | ||
Revision as of 23:40, 22 November 2019
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PROJECT DESCRIPTION |
A Food and Nutrition Board (FNB) International Food Chain is interested in improving their current methods of delineation and analysis.
Using the various functions available on QGIS, we are able to help the FNB business to conduct analysis on the correlation between various factors, such as the Point-Of-Interests (POIs) and Population Density, and the Sales Revenue of the 13 trade areas where this FNB business operates in. At the same time, we are able to advise the FNB business on how to delineate trade areas more efficiently and less tediously.
By doing so, we aim to optimise the performance of each store located in these trade areas and we hope to highlight the benefits of adopting the QGIS method so that the FNB business can make more informed business decisions in the future based on the insights they have gathered from QGIS.
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PROJECT MOTIVATION |
As the FNB business expands, it gets increasingly difficult to accurately keep track of the various factors that affects the business performance. Various factors such as the number of POIs and population density can affect the human traffic in each of the trade area and should be considered with utmost importance. Hence, using QGIS and SAS Enterprise Guide will be able to provide a much more precise analysis for the outlets in the trade areas.
Also, the current method that has been adopted by the FNB business to delineate the trade areas is Microsoft PowerPoint. This is a less effective approach as compared to using QGIS. Hence, we believe that by utilizing QGIS to digitize and delineate the different trade areas, the analysis process will be less tedious and less time-consuming as the data is being integrated into a single platform and allows for an easier integration for future usage.
This provides the FNB business with a more realistic & better representation of their stores’ environment through the analysis of the data provided by the food chain business and generated by QGIS and SAS Enterprise Guide. This will allow the business to make plans on how to optimise performance for its stores.
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PROJECT DATA |
| DATA FILE NAME | DESCRIPTION | DATA FORMAT | SOURCE | USAGE |
|---|---|---|---|---|
| GeoPackage | ||||
| Taiwan_stores.gpkg | Contains properties of all 240 Taiwan_stores | GPKG | SMT201_Busines Profiling Project OneDrive Folder | Allocation of Stores |
| Location Map | ||||
| CC-20171113 寬65高43(鋁) |
Contains Drive-Time Map of Trade Area CC | Example | Example | Example |
| CL-20171113 寬74高75(木)含框 |
Contains Drive-Time Map of Trade Area CL | Example | Example | Example |
| GM-20171112 寬70高70(鋁) |
Contains Drive-Time Map of Trade Area GM | Example | Example | Example |
| HL-20171112 寬90高60(鋁) |
Contains Drive-Time Map of Trade Area HL | Example | Example | Example |
| JI-20190102 寬72高100(鋁)含框 |
Contains Drive-Time Map of Trade Area JI | Example | Example | Example |
| KC-20180112 寬93高102(鋁)含框 |
Contains Drive-Time Map of Trade Area KC | Example | Example | Example |
| MD-20170606 寬85高60(鋁) |
Contains Drive-Time Map of Trade Area MD | Example | Example | Example |
| MH-20171110 寬80高90(鋁) |
Contains Drive-Time Map of Trade Area MH | Example | Example | Example |
| MJ-20171031 寬74.5高60(鋁)含框 |
Contains Drive-Time Map of Trade Area MJ | Example | Example | Example |
| RS-20171128 寬74高74(鋁)含框 |
Contains Drive-Time Map of Trade Area RS | Example | Example | Example |
| YH-20171112 寬80高55(鋁) |
Contains Drive-Time Map of Trade Area YH | Example | Example | Example |
| YJ-20171214 寬62高87(鋁) |
Contains Drive-Time Map of Trade Area YJ | Example | Example | Example |
| YN-20171016 寬60高65(鋁) |
Contains Drive-Time Map of Trade Area YN | Example | Example | Example |
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PROJECT SCOPE |
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PROJECT TIMELINE |
