Difference between revisions of "G1-Group02"

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=<div style="margin-top: 10px;font-family: Arial;font-weight:bold;text-align:center;font-size:18px; border: 5px solid #00000000; border-radius:8px;text-align:center; background-color: #F0E68C; color: black; padding: 2px"><span style="font-size:24px;"></span>Project Motivation</div>=
 
=<div style="margin-top: 10px;font-family: Arial;font-weight:bold;text-align:center;font-size:18px; border: 5px solid #00000000; border-radius:8px;text-align:center; background-color: #F0E68C; color: black; padding: 2px"><span style="font-size:24px;"></span>Project Motivation</div>=
The uprising trend of Big Data has brought about new tools for businesses to make decisions. In an environment where businesses need to maintain a competitive edge to stay relevant in the market, analytical tools can help them to bridge that gap and make more informed decisions. Our client understands the importance of analytics and has requested us to assist them in analyzing their current data and propose meaningful recommendations to them. Making use of the geospatial analysis techniques and skills that taught in class, our team aims to assist our client to reach greater heights by providing business profiling and analysis solutions and recommendations to them.  
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The increasing use of big data has created new means and tools for businesses to make more informed choices and decisions. Businesses should maximize their use of these analytical tools to help them bridge the gap between data and decision-making, so that they can maintain a competitive edge and stay relevant in the market. However, not all business have the resources, capability or expertise to do so.
  
Our client for this project is a Food & Beverage (F&B) giant that operates in multiple countries worldwide. For this project, we will be focusing on 13 branches in Taiwan, specifically all the branches of the F&B chain that are located along the East Coast of Taiwan. These branches are located in 4 different counties, namely Keelung, Nantou, Hualien and Taitung.
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Our team decided to engage in this project as we are interested to help businesses connect the data that they have already collected and is readily available to their business operations and decision-making process. Our team hopes to make use of the geospatial analysis techniques and skills taught in class to assist our client in analyzing their data and propose meaningful business recommendations to them. Our team is also motivated to identify potential hot-spots that might have larger customer base that could potentially be locations to set up new stores for our client. We hope that through this project, our team is able to not only learn invaluable skills that are related to geospatial analytics, but is able to also learn more about working for a real life project with business clients.  
  
Since our allocated stores are scattered from the North to the South of the East side of Taiwan, we would like to identify any correlations between the location of the stores and the stores' reachability and profitability, based on the number of customers for each trading zone and subzone, and the location of different points of interest (POIs) located within their respective trade areas that were provided by our client. Our team hopes to be able to provide business recommendations to our client and identify potential hotspots that have high reachability based on nearby POIs by the end of the project.
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The team consists of Brendan Ong Sin Kai, Chong Yun Yu and Heng Bing Chow, three students from the Associate Professor of Information Systems (Practice), Dr. Kam Tin Seong's Geographic Information Systems for Urban Planning class in the School of Information Systems at Singapore Management University in Academic Year 2019-20 Semester 1.
  
 
=<div style="margin-top: 10px;font-family: Arial;font-weight:bold;text-align:center;font-size:18px; border: 5px solid #00000000; border-radius:8px;text-align:center; background-color: #F0E68C; color: black; padding: 2px"><span style="font-size:24px;"></span>Project Objectives</div>=
 
=<div style="margin-top: 10px;font-family: Arial;font-weight:bold;text-align:center;font-size:18px; border: 5px solid #00000000; border-radius:8px;text-align:center; background-color: #F0E68C; color: black; padding: 2px"><span style="font-size:24px;"></span>Project Objectives</div>=

Revision as of 21:43, 16 October 2019

G1 Group 2 Logo.png

PROPOSAL

POSTER

WEB MAPS

PROJECT REPORT


Project Motivation

The increasing use of big data has created new means and tools for businesses to make more informed choices and decisions. Businesses should maximize their use of these analytical tools to help them bridge the gap between data and decision-making, so that they can maintain a competitive edge and stay relevant in the market. However, not all business have the resources, capability or expertise to do so.

Our team decided to engage in this project as we are interested to help businesses connect the data that they have already collected and is readily available to their business operations and decision-making process. Our team hopes to make use of the geospatial analysis techniques and skills taught in class to assist our client in analyzing their data and propose meaningful business recommendations to them. Our team is also motivated to identify potential hot-spots that might have larger customer base that could potentially be locations to set up new stores for our client. We hope that through this project, our team is able to not only learn invaluable skills that are related to geospatial analytics, but is able to also learn more about working for a real life project with business clients.

The team consists of Brendan Ong Sin Kai, Chong Yun Yu and Heng Bing Chow, three students from the Associate Professor of Information Systems (Practice), Dr. Kam Tin Seong's Geographic Information Systems for Urban Planning class in the School of Information Systems at Singapore Management University in Academic Year 2019-20 Semester 1.

Project Objectives

The project aims to meet the following objectives:

  • Create digitized maps on Geographic Information System (GIS) software that corresponds to the location maps provided by the client
  • Conduct detailed analysis for each store’s profile based on points of interests (POI) within their trading zone and subzones
  • Provide recommendations to our client to further its businesses, such as recommending hotspots with high reachability to the client

The following deliverables will be produced:

  • Geopackage file containing digitized map layers for further analysis on our client’s end
  • Project poster depicting our crucial findings, which includes analysis results from our findings
  • Townhall poster presentation to showcase our analysis process and results
  • Project report detailing the respective analysis of each store’s profile

We hope that through this process, our team is able to learn more about the techniques of using GIS software for geographical analysis, and integrate what we learnt in this module together with what we learnt in other modules, such as coding, statistics and analytics. We also hope that we can provide our client basic analysis results that could kick-start new projects related to geographical analysis that could bring their businesses to further heights.

Project Scope

The stores that we were assigned to our team are HN, HZ, Jenyi (JI), Ji An (JA), Keelung Shensi (KG), KP, Nantou Nangang (NN), Nantou Puli (PL), TD, Tsao-Tung (TT), TT, UL, ZU (Jhushan Township). Amongst the stores that were allocated to our team, we had a mix of stores that were opened and closed down. Only two stores, Jenyi (JI) and Tsao-Tung (TT), are not currently in operation anymore. The location of the stores are shown in the figure below:

G1 Group 2 Stores (Taiwan)

As seen in the figure above, the breakdown of stores according to their counties is as the following:

  • Keelung: Keelung Shensi (KG), KP, Jenyi (JI)
  • Nantou: Nantou Nangang (NN), Nantou Puli (PL), Tsao-Tung (TT), TT, ZU (Jhushan Township)
  • Hualien: HN, HZ, Ji An (JA), UL
  • Taitung: TD

The trading zones and subzones for each store will be digitised and clipped to the 28 selected POIs for analysis. Our team will be showcasing our analysis results in our poster and will be displaying and presenting it in the townhall poster presentation.

Our team will be evaluating the success of our project with the following criterias:

  • Schedule - the project must be completed and submitted by 24 November 2019
  • Quality of deliverables - deliverables produced must be clear, concise and insightful
  • Stakeholder satisfaction - the results of our project should meet all objectives stated in the "Project Objectives" section

Data

Data Filename Description Data Format Source Usage
GeoPackage
Taiwan_stores Contains data of store assignment from Professor Kam GPKG Professor Kam Allocation of Stores
Administrative Boundaries
County MOI Shows Counties in Taiwan SHP Client Reference Layer
Town MOI Shows Towns in Taiwan SHP Client Reference Layer
Village MOI Shows Villages in Taiwan SHP Client Reference Layer
Location Maps
HN-20181106寬30高30(木) Contain service area of store PPTX Client Reference Layer for Digitising
HZ-20181106寬75高75(木) Contain service area of store PPTX Client Reference Layer for Digitising
JA-20180309寬81高92(木)含框 Contain service area of store PPTX Client Reference Layer for Digitising
JI-20190102寬72高100(鋁)含框 Contain service area of store PPTX Client Reference Layer for Digitising
KG-20171116寬70高60(鋁) Contain service area of store PPTX Client Reference Layer for Digitising
NN-20171213寬77高87(木) Contain service area of store PPTX Client Reference Layer for Digitising
PL-20171213寬110高90(木)含框 Contain service area of store PPTX Client Reference Layer for Digitising
TD-20190903(原外送地圖底圖裁剪) Contain service area of store PPTX Client Reference Layer for Digitising
TT-20190614寬80高100(鋁) Contain service area of store PPTX Client Reference Layer for Digitising
UL-20181106寬40高80(木)含框 Contain service area of store PPTX Client Reference Layer for Digitising
ZU-20171213寬100高100(細木框) Contain service area of store PPTX Client Reference Layer for Digitising
Points of Interest (POI) - North (V7AM181F0WV7000AACV0)
Business Shows businesses in North Taiwan SHP Client Reference Layer for Analysis
CommSvc Shows community service facilities in North Taiwan SHP Client Reference Layer for Analysis
EduInsts Shows education institutions in North Taiwan SHP Client Reference Layer for Analysis
Entertn Shows entertainment facilities in North Taiwan SHP Client Reference Layer for Analysis
FinInsts Shows financial institutions in North Taiwan SHP Client Reference Layer for Analysis
Hospital Shows medical facilities in North Taiwan SHP Client Reference Layer for Analysis
MiscCategories Shows miscellaneous amenities in North Taiwan SHP Client Reference Layer for Analysis
ParkRec Shows parks and recreational areas in North Taiwan SHP Client Reference Layer for Analysis
Restrnts Shows restaurants in North Taiwan SHP Client Reference Layer for Analysis
Shopping Shows shopping malls in North Taiwan SHP Client Reference Layer for Analysis
TransHub Shows transport hubs in North Taiwan SHP Client Reference Layer for Analysis
TravDest Shows travel destinations, such as hotels in North Taiwan SHP Client Reference Layer for Analysis
Points of Interest (POI) - Central (V8AM181F0WV8000AACV0)
Business Shows businesses in Central Taiwan SHP Client Reference Layer for Analysis
CommSvc Shows community service facilities in Central Taiwan SHP Client Reference Layer for Analysis
EduInsts Shows education institutions in Central Taiwan SHP Client Reference Layer for Analysis
Entertn Shows entertainment facilities in Central Taiwan SHP Client Reference Layer for Analysis
FinInsts Shows financial institutions in Central Taiwan

SHP || Client || Reference Layer for Analysis

Hospital Shows medical facilities in Central Taiwan SHP Client Reference Layer for Analysis
MiscCategories Shows miscellaneous amenities in Central Taiwan SHP Client Reference Layer for Analysis
ParkRec Shows parks and recreational areas in Central Taiwan SHP Client Reference Layer for Analysis
Restrnts Shows restaurants in Central Taiwan SHP Client Reference Layer for Analysis
Shopping Shows shopping malls in Central Taiwan SHP Client Reference Layer for Analysis
TransHub Shows transport hubs in Central Taiwan SHP Client Reference Layer for Analysis
TravDest Shows travel destinations, such as hotels in Central Taiwan SHP Client Reference Layer for Analysis
Points of Interest (POI) - South (V9AM181F0WV9000AACV0)
Business Shows businesses in South Taiwan SHP Client Reference Layer for Analysis
CommSvc Shows community service facilities in South Taiwan SHP Client Reference Layer for Analysis
EduInsts Shows education institutions in South Taiwan SHP Client Reference Layer for Analysis
Entertn Shows entertainment facilities in South Taiwan SHP Client Reference Layer for Analysis
FinInsts Shows financial institutions in South Taiwan SHP Client Reference Layer for Analysis
Hospital Shows medical facilities in South Taiwan SHP Client Reference Layer for Analysis
MiscCategories Shows miscellaneous amenities in South Taiwan SHP Client Reference Layer for Analysis
ParkRec Shows parks and recreational areas in South Taiwan SHP Client Reference Layer for Analysis
Restrnts Shows restaurants in South Taiwan SHP Client Reference Layer for Analysis
Shopping Shows shopping malls in South Taiwan SHP Client Reference Layer for Analysis
TransHub Shows transport hubs in South Taiwan SHP Client Reference Layer for Analysis
TravDest Shows travel destinations, such as hotels in South Taiwan SHP Client Reference Layer for Analysis

Project Schedule

Phase 1 (Week 1 to Week 5)

P1GanttChart2.png


Phase 2 (Week 6 to Week 10)

P2GanttChart2.png


Phase 3 (Week 10 to Week 14)

P3GanttChart2.png