Difference between revisions of "ANLY482 AY2017-18T2 Group01: Project Management"

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[[File:Eatigoscope.png|700 px|centre|]]
 
[[File:Eatigoscope.png|700 px|centre|]]
  
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For our analysis we have defined the following constraints:
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Step 1: Understanding the Business Problem and Business Context:
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- As mentioned earlier, eatigo operates in 8 markets. We are currently discussing scoping this down with our project supervisor.  
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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:
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- eatigo’s data has been recorded from 2013 onwards. However, the period for which we will receive the data depends on the markets which we scope down to.
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<br> 1. Spoke with eatigo employees beyond our sponsor (Sales Lead and Marketing Lead)
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<br> 2. Interviewed eatigo customers to understand their typical priorities and their customer journey.  
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Based on our understanding, we have mapped out the customer journey map as follows:
  
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For our project we will be progressing in phases as follows:<br />
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[[File:Journey.png|700 px|centre|]]
  
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'''Phase 1: Understanding the Business Problem<br />
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Step 2: Data Preparation
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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:
  
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We adopted the following methods to get a thorough understanding of the problem that eatigo is facing:<br />
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[[File:Data prep.png|700 px|centre|]]
  
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*  Initial discussion with Eatigo’s Marketing and Data Science Team to understand the business model, booking statistics and user behavior
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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.
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*  Primary research by speaking to customers about their booking behaviour on eatigo
 
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*  Secondary research to understand people’s dining habits and further understand eatigo’s business model<br />
 
  
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'''Phase 2: Analysis Plan<br />
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Step 3: Model Preparation
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We plan to use clustering, market basket analysis and geospatial methods to derive our final clusters and recommendations. We are currently working on this.
  
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After understanding the business problem, we worked on an initial analysis plan to identify the data sources required and generate our hypothesis. However this is subject to change as we progress with the project<br />
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Step 4: Analysis and Insights
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Based on our insights we will be developing a recommendation plan for Eatigo which will enable the company to increase bookings
  
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'''Phase 3: Data Collection & Cleaning<br />
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'''Work Plan"':<br />
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Our sponsor will be directly sharing the data with us. However, presently we have not received the data as the NDA is still to be signed.
 
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<br />
 
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'''Phase 4: Derive insights<br />
 
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As mentioned, our initial steps upon receiving the data include data understanding, data cleaning, data exploration and data transformation.
 
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Depending on the our findings from above, we will be deciding our next steps forward in terms of analytical & visualization techniques and software to use to derive insights<br />
 
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'''Phase 5: Recommendation<br />
 
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Based on our insights we will be developing a recommendation plan for Eatigo which will enable the company to not only optimize yield management by improving usage rates among current customers but also attract new vendors to their platform.<br />
 
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'''Work Plan:<br />
 
 
We have prepared a work plan for our project as follows. This gantt chart will be reviewed after Week 2 once we receive our data, and week 3 once we consult our supervisor.<br />
 
We have prepared a work plan for our project as follows. This gantt chart will be reviewed after Week 2 once we receive our data, and week 3 once we consult our supervisor.<br />
  

Revision as of 21:18, 25 February 2018


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Project Scope
Eatigoscope.png

Step 1: Understanding the Business Problem and Business Context: 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:

Journey.png

Step 2: 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:

Data prep.png

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

Work Plan"':
 We have prepared a work plan for our project as follows. This gantt chart will be reviewed after Week 2 once we receive our data, and week 3 once we consult our supervisor.

Work Plan.png

[Our discussions with the sponsor, professor and amongst ourselves ]

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