Difference between revisions of "Team Accuro Project Management"
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− | | style="font-weight: bold; font-style: italic; background: #efefef;" colspan="16"| | + | | style="font-weight: bold; font-style: italic; background: #efefef;" colspan="16"| Project Proposal |
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− | | style="font-weight: bold; font-style: italic; background: #efefef;" colspan="16"| | + | | style="font-weight: bold; font-style: italic; background: #efefef;" colspan="16"| Step 2: Feature Extraction |
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Revision as of 17:13, 4 September 2015
Timeline
Task | W1 | W2 | W3 | W4 | W5 | W6 | W7 | W8 | W9 | W10 | W11 | W12 | W13 | W14 | W15 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Research | |||||||||||||||
Project Scope Exploration | |||||||||||||||
Tools Familiarity | |||||||||||||||
Exploratory Data Analysis | |||||||||||||||
Proposal Development | |||||||||||||||
Project Proposal | |||||||||||||||
Proposal Document | |||||||||||||||
Wiki Page | |||||||||||||||
Step 1: Descriptive Analysis | |||||||||||||||
Data Preparation | |||||||||||||||
Advanced Data Exploration | |||||||||||||||
Clustering Business Profiles | |||||||||||||||
Trend Analysis | |||||||||||||||
Step 2: Feature Extraction | |||||||||||||||
Model Development | |||||||||||||||
Model Evaluation | |||||||||||||||
Factor Interpretation | |||||||||||||||
Change of scope | |||||||||||||||
Midterm Presentation | |||||||||||||||
Presentation | |||||||||||||||
Report | |||||||||||||||
Wiki Page | |||||||||||||||
Post-Midterm Presentation | |||||||||||||||
Machine Learning | |||||||||||||||
Final Presentation | |||||||||||||||
Presentation | |||||||||||||||
Report | |||||||||||||||
Wiki Page | |||||||||||||||
Poster |
Risk Assessment
Impact | ||||
---|---|---|---|---|
Low | Medium | High | ||
Likelihood | Low | Low | Low | Moderate |
Medium | Low | Moderate | High | |
High | Moderate | High | High |
Risks | Level | Mitigation |
---|---|---|
Insufficient statistical knowledge | Medium | Consult with supervisor and online course materials |
Lack of actionable business insights | High | Continuous literature search on meaningfulness of insights for businesses according to each city |
Dashboard UI design may not be intuitive or extensive | High | User testing and consistent updates with the supervisor |