Difference between revisions of "G2-Group14 Proposal"
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| + | [[File:Project_IMage.PNG|2600x2600px|frameless|center|Logo]] | ||
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| + | [[G2-Group14|<font color="#000000"><strong>HOME</strong></font>]] | ||
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| + | [[G2-Group14_Proposal|<font color="#000000"><strong>PROPOSAL</strong></font>]] | ||
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| + | [[G2-Group14 Poster|<font color="#000000"><strong>POSTER</strong></font>]] | ||
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| + | [[G2-Group14 WebMaps|<font color="#000000"><strong>WEB MAPS</strong></font>]] | ||
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| + | [[G2-Group14 Report|<font color="#000000"><strong>REPORT</strong></font>]] | ||
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Big Data, in today’s context, is indispensable. Businesses are realising its importance and how they should utilize data they have captured over the years by applying analytics. Over the years, Big Data analytics has helped organisations process their data; discovering insights, trends and uncovering potential opportunities. This has benefited these organisations by improving their decision-making and problem solving processes. | Big Data, in today’s context, is indispensable. Businesses are realising its importance and how they should utilize data they have captured over the years by applying analytics. Over the years, Big Data analytics has helped organisations process their data; discovering insights, trends and uncovering potential opportunities. This has benefited these organisations by improving their decision-making and problem solving processes. | ||
When the opportunity to work with Pizza Hut arose, our team was more than keen to take on the challenge. With the relevant data readily provided by our client, we will then be able to determine the shops, trade areas and analyse how other factors can affect Pizza Hut’s business across Taipei. In this project, we are excited to apply skill sets that we have acquired in our Geospatial classes to help identify potential hotspots and problems. We hope that our analysis can provide Pizza Hut with insightful recommendations that can aid them with their business strategies and decisions in the coming years. | When the opportunity to work with Pizza Hut arose, our team was more than keen to take on the challenge. With the relevant data readily provided by our client, we will then be able to determine the shops, trade areas and analyse how other factors can affect Pizza Hut’s business across Taipei. In this project, we are excited to apply skill sets that we have acquired in our Geospatial classes to help identify potential hotspots and problems. We hope that our analysis can provide Pizza Hut with insightful recommendations that can aid them with their business strategies and decisions in the coming years. | ||
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| − | ! style="text-align: center; width:20em; height: | + | ! style="text-align: center; width:20em; height: 3em; font-size:20px; font-family:Arial !important;; background-color:#132569; color: white;"| PROJECT OBJECTIVE |
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The project aims to conduct a thorough analysis of the 13 Pizza Hut stores located in Taiwan to evaluate the success of each individual store based on their location. Through our analysis, we will take into account the various points of interest (POI) present in the subzone to come up with the following: | The project aims to conduct a thorough analysis of the 13 Pizza Hut stores located in Taiwan to evaluate the success of each individual store based on their location. Through our analysis, we will take into account the various points of interest (POI) present in the subzone to come up with the following: | ||
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# Analysis, research and recommendations to our client, Pizza Hut, through the creation of a poster and project report | # Analysis, research and recommendations to our client, Pizza Hut, through the creation of a poster and project report | ||
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| + | ! style="text-align: center; width:20em; height: 3em; font-size:20px; font-family:Arial !important;; background-color:#132569; color: white;"| PROJECT DATA | ||
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| + | ! style="text-align: center; width:20em; height: 3em; font-size:20px; font-family:Arial !important;; background-color:#132569; color: white;"| SCOPE OF WORK | ||
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[[File:PROJ_SCHEDULE.png|800x800px||border|center]] | [[File:PROJ_SCHEDULE.png|800x800px||border|center]] | ||
Revision as of 00:27, 28 October 2019
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| PROJECT MOTIVATION |
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Big Data, in today’s context, is indispensable. Businesses are realising its importance and how they should utilize data they have captured over the years by applying analytics. Over the years, Big Data analytics has helped organisations process their data; discovering insights, trends and uncovering potential opportunities. This has benefited these organisations by improving their decision-making and problem solving processes. When the opportunity to work with Pizza Hut arose, our team was more than keen to take on the challenge. With the relevant data readily provided by our client, we will then be able to determine the shops, trade areas and analyse how other factors can affect Pizza Hut’s business across Taipei. In this project, we are excited to apply skill sets that we have acquired in our Geospatial classes to help identify potential hotspots and problems. We hope that our analysis can provide Pizza Hut with insightful recommendations that can aid them with their business strategies and decisions in the coming years.
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