Difference between revisions of "G1-Group12 Proposal"

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<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Project Objectives</b></font></div>
 
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Project Objectives</b></font></div>
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The objective of our project is to conduct an analysis on 13 stores in Taiwan to give useful insights that will aid us in finding any correlation between the sales of each store with POIs within their trade areas. Based on our findings, we would make recommendations to our client.
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The objective of our project is to conduct an analysis on 13 stores in Taiwan to give useful insights that will aid us in creating an effective business strategy. All 13 stores are located within New Taipei City, and the respective trade areas cover majority of the city. In our analysis, our aim is to find any correlation between the sales of each store with POIs within their trade areas. We would compare the stores with higher sales with the stores with lower sales to identify which POIs in the trade areas that best explain the difference in sales. Based on our findings, we would make recommendations to our client.
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All 13 stores are located within New Taipei City, and the respective trade areas cover majority of the city. The steps taken to achieve our objective are as follows:
 
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{|
 
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|1.
 
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|Selecting the stores to analyse
 
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|-
 
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|2.
 
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|Digitize the trade areas using QGIS
 
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|3.
 
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|Filter out the relevant POIs
 
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|-
 
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|4.
 
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|Identify the location of POIs in each trade area
 
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|5.
 
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|Analyse how the POI affect the sales
 
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|6.
 
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|Build QGIS Web Maps
 
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|7.
 
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|Create a poster
 
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|8.
 
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|Produce a written report
 
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<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Data Collection</b></font></div>
 
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Data Collection</b></font></div>
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{| style="text-align: center;center;background: #093066; color: white; width: 30%;"
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! style="width: 35px;" | Points of Interest
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|-style="text-align: left; text-indent: 15px;background: white; color: black"
  
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|1. ATM, 3578
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|2. BANK, 6000
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|3. BAR OR PUB, 9532
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|4. BOOKSTORE, 9995
 +
|5. BOWLING CENTRE, 7933
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|6. BUS STATION, 4170
 +
|7. BUSINESS FACILITY, 5000
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|8. CINEMA, 7832
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|9. CLOTHING STORE, 9537
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|10. COFFEE SHOP, 9996
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|11. COMMUTER RAIL STATION, 4100
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|12. CONSUMER ELECTRONICS STORE, 9987
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|13. CONVENIENCE STORE, 9535
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|14. DEPARTMENT STORE, 9545
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|15. GOVERNMENT OFFICE, 9525
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|16. GROCERY STORE, 5400
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|17. HIGHER EDUCATION, 8200
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|18. HOSPITAL, 8060
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|19. HOTEL, 7011
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|20. MEDICAL SERVICE, 9583
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|21. PHARMACY, 9565
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|22. RESIDENTIAL AREA/BUILDING, 9590
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|23, RESTAURANT, 5800
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|24. SCHOOL, 8211
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|25. SHOPPING, 6512
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|26. SPORTS CENTRE, 7997
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|27. SPORTS COMPLEX, 7940
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|28. TRAIN STATION, 4013
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|}
  
 
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Project Schedule</b></font></div>
 
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Project Schedule</b></font></div>
  
 
[[File:Gantt.jpg|999px|center]]
 
[[File:Gantt.jpg|999px|center]]

Revision as of 16:04, 17 October 2019

Home

Proposal

Poster

Web Maps

Project Report

Project Motivation

Our client has multiple resturants across taiwan and each store has varied success across the island. Our client suggests that the differences in store successes can be linked to the different points of interests (POI) in the store vicinity.

Therefore, our client wishes to derive insights from profiling trade areas of individual stores, to better understand the characteristics of a trade area that contribute to better sales. Our team is given 13 out of the 240 stores in Taiwan, all 13 located in Taipei.

We began by digitising and delineating the existing operational trade areas, before analysing the POIs 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. In the future, our client can look for areas with similar favourable characteristics to consider opening a new store there.

Project Objectives

The objective of our project is to conduct an analysis on 13 stores in Taiwan to give useful insights that will aid us in creating an effective business strategy. All 13 stores are located within New Taipei City, and the respective trade areas cover majority of the city. In our analysis, our aim is to find any correlation between the sales of each store with POIs within their trade areas. We would compare the stores with higher sales with the stores with lower sales to identify which POIs in the trade areas that best explain the difference in sales. Based on our findings, we would make recommendations to our client.

Data Collection
Data File Description Data Format Purpose
GeoPackage
Taiwan_stores Contains geo-coded stores .gpkg Find location of our stores
Administrative Boundaries
County MOI Contains county area .shp Show boundary
Town MOI Contains town area .shp Show boundary
Location Maps
CF-20171113寬62高90(鋁) Trade area of store .pptx Used to find POIs inside
FG-20170523寬83高92(鋁)含框 Trade area of store .pptx Used to find POIs inside
HF2-20190402 Trade area of store .pptx Used to find POIs inside
HF-20171228寬80高100(鋁) Trade area of store .pptx Used to find POIs inside
HF-20190402寬80高100(鋁)-new Trade area of store .pptx Used to find POIs inside
HS-20150116寬70高92(鋁)含框 Trade area of store .pptx Used to find POIs inside
HS-20190515寬70高92(鋁)含框 Trade area of store .pptx Used to find POIs inside
MZ-20170523寬60高60(鋁)含框 Trade area of store .pptx Used to find POIs inside
PC-20171101寬67高93(鋁) Trade area of store .pptx Used to find POIs inside
PJ-20171117寬60高90(木) Trade area of store .pptx Used to find POIs inside
PK-20171107寬61高54(鋁) Trade area of store .pptx Used to find POIs inside
PS-20171106寬76高90(木)含框 Trade area of store .pptx Used to find POIs inside
PW-20171114寬90高90(鋁) Trade area of store .pptx Used to find POIs inside
SD-20171228寬80高54(鋁)含框 Trade area of store .pptx Used to find POIs inside
TI-20171230寬70高70(鋁) Trade area of store .pptx Used to find POIs inside
YS-20171114寬62高90(鋁) Trade area of store .pptx Used to find POIs inside
Points of Interest
Business Contains locations of businesses .shp Used for analysis
CommSvc Contains locations of community service facilities .shp Used for analysis
EduInsts Contains locations of education institutions .shp Used for analysis
Entertn Contains locations of entertainment facilities .shp Used for analysis
FinInsts Contains locations of financial institutions .shp Used for analysis
Hospital Contains locations of medical facilities .shp Used for analysis
MiscCategories Contains locations of miscellaneous amenities .shp Used for analysis
ParkRec Contains locations of parks and recreational areas .shp Used for analysis
Restrnts Contains locations of restaurants .shp Used for analysis
Shopping Contains locations of shopping malls .shp Used for analysis
TransHub Contains locations of transport hubs .shp Used for analysis
TravDest Contains locations of travel destinations .shp Used for analysis


Scope Of Work

Our team has been allocated 13 Stores in Taipei shown in the map below.

Scope2.jpg

The 13 store codes are as follows:

Region Store Code
New Taipei
  • CF
  • FG
  • HF
  • HS
  • MZ
  • PC
  • PJ
  • PK
  • PS
  • PW
  • SD
  • TI
  • YS
Points of Interest
1. ATM, 3578 2. BANK, 6000 3. BAR OR PUB, 9532 4. BOOKSTORE, 9995 5. BOWLING CENTRE, 7933 6. BUS STATION, 4170 7. BUSINESS FACILITY, 5000 8. CINEMA, 7832 9. CLOTHING STORE, 9537 10. COFFEE SHOP, 9996 11. COMMUTER RAIL STATION, 4100 12. CONSUMER ELECTRONICS STORE, 9987 13. CONVENIENCE STORE, 9535 14. DEPARTMENT STORE, 9545 15. GOVERNMENT OFFICE, 9525 16. GROCERY STORE, 5400 17. HIGHER EDUCATION, 8200 18. HOSPITAL, 8060 19. HOTEL, 7011 20. MEDICAL SERVICE, 9583 21. PHARMACY, 9565 22. RESIDENTIAL AREA/BUILDING, 9590 23, RESTAURANT, 5800 24. SCHOOL, 8211 25. SHOPPING, 6512 26. SPORTS CENTRE, 7997 27. SPORTS COMPLEX, 7940 28. TRAIN STATION, 4013
Project Schedule
Gantt.jpg
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