Difference between revisions of "ANLY482 AY2017-18T2 Group01: Project Management"
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'''Step 1:''' | '''Step 1:''' | ||
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| + | <div style="background:#AE0000; line-height:0.3em; font-family:montserrat; font-size:120%; border-left:#FFE2C0 solid 15px;"><div style="border-left:#fff solid 5px; padding:15px;"><font color="#fff"><strong>Understanding the Business Problem</strong></font></div></div> | ||
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We first wanted to gather all information related to the booking journey of customers and the key influencing factors. To do this we carried out the following steps: | We first wanted to gather all information related to the booking journey of customers and the key influencing factors. To do this we carried out the following steps: | ||
<br> 1. Spoke with eatigo employees beyond our sponsor (Sales Lead and Marketing Lead) | <br> 1. Spoke with eatigo employees beyond our sponsor (Sales Lead and Marketing Lead) | ||
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Based on our understanding, we have mapped out the customer journey map as follows: | Based on our understanding, we have mapped out the customer journey map as follows: | ||
| − | [[File:Journey final.png| | + | [[File:Journey final.png|600 px|centre|]] |
| − | + | <!-- Start Information --> | |
| + | <div style="background:#AE0000; line-height:0.3em; font-family:montserrat; font-size:120%; border-left:#FFE2C0 solid 15px;"><div style="border-left:#fff solid 5px; padding:15px;"><font color="#fff"><strong>Data Preparation and Cleaning</strong></font></div></div> | ||
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The next step involved zooming into the data sheets provided to us and understand each variable, it's sufficiency and relevance in helping us solve the business problem, and then preparing it for analysis. These were the steps in Data Preparation: | The next step involved zooming into the data sheets provided to us and understand each variable, it's sufficiency and relevance in helping us solve the business problem, and then preparing it for analysis. These were the steps in Data Preparation: | ||
| − | [[File:Eatigodataprep.png| | + | [[File:Eatigodataprep.png|1000 px|centre|]] |
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| − | + | The details of our work in each step has been summarized as follows: | |
| + | [[File:DataCleaningEatigo.png |700 px|centre|]] | ||
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Due to confidentiality, we cannot share data details. For more information, please refer to our e-learn drop box or email us. | Due to confidentiality, we cannot share data details. For more information, please refer to our e-learn drop box or email us. | ||
Revision as of 21:32, 14 April 2018
We went through the following steps to execute our project:
Step 1:
We first wanted to gather all information related to the booking journey of customers and the key influencing factors. To do this we carried out the following steps:
1. Spoke with eatigo employees beyond our sponsor (Sales Lead and Marketing Lead)
2. Interviewed eatigo customers to understand their typical priorities and their customer journey.
Based on our understanding, we have mapped out the customer journey map as follows:
The next step involved zooming into the data sheets provided to us and understand each variable, it's sufficiency and relevance in helping us solve the business problem, and then preparing it for analysis. These were the steps in Data Preparation:
The details of our work in each step has been summarized as follows:
Due to confidentiality, we cannot share data details. For more information, please refer to our e-learn drop box or email us.
Step 3:
Model Preparation: We plan to use clustering, market basket analysis and geospatial methods to derive our final clusters and recommendations. We are currently working on this.
Step 4:
Analysis and Insights: Based on our insights we will be developing a recommendation plan for Eatigo which will enable the company to increase bookings
We have prepared a work plan for our project as follows.
[Our discussions with the sponsor, professor and amongst ourselves ]
