Difference between revisions of "ANLY482 AY2017-18T2 Group 25 : Project Management"
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==<div style="background: #404040; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 16px"><font color=#ffffff >Project Timeline</font></div>== | ==<div style="background: #404040; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 16px"><font color=#ffffff >Project Timeline</font></div>== | ||
+ | Phase 1: Understanding the Business Problem<br> | ||
+ | - Discussion with Chope to understand the business model, data the company collects and aims<br> | ||
+ | - Research done to understand the current market of restaurant booking companies <br> | ||
<br> | <br> | ||
− | [[File: | + | Phase 2: Data collection and Preparation |
+ | - Data given by the sponsor upon signing of NDA <br> | ||
+ | - To do initial analysis on how to clean the data <br> | ||
+ | <br> | ||
+ | Phase 3: Data Analysis<br> | ||
+ | - Conduct EDA<br> | ||
+ | - Selection of models to use<br> | ||
+ | <br> | ||
+ | Phase 4: Derive Business Insights and Business Recommendations<br> | ||
+ | - Upon analysis to derive improvements for Chope to improve their marketing efforts<br> | ||
+ | - To better engage customer and have better interactions with customers<br> | ||
+ | |||
+ | |||
+ | [[File:Group25 Gantt Chart Final.png|720px]] | ||
<br> | <br> |
Latest revision as of 15:41, 10 April 2018
Project Timeline
Phase 1: Understanding the Business Problem
- Discussion with Chope to understand the business model, data the company collects and aims
- Research done to understand the current market of restaurant booking companies
Phase 2: Data collection and Preparation
- Data given by the sponsor upon signing of NDA
- To do initial analysis on how to clean the data
Phase 3: Data Analysis
- Conduct EDA
- Selection of models to use
Phase 4: Derive Business Insights and Business Recommendations
- Upon analysis to derive improvements for Chope to improve their marketing efforts
- To better engage customer and have better interactions with customers