Difference between revisions of "ANLY482 AY2016-17 T2 Group8: PROJECT PROPOSAL"
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| + | ==<div style="background: #A4A4A4; line-height: 0.3em; font-family:Roboto; border-left: #848484 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#ffffff"><strong>Motivation</strong></font></div></div>== | ||
Currently, XYZ makes use of a unique ideation process for its content creation. However, we feel that this process can be improved with a data driven approach. By creating an actual documentation of what elements make up a good idea based on their historical data, XYZ will have a more structured ideation system that can be used to supplement their existing processes. This would increase the quality of ideas that are generated, that would translate to better articles and an improved bottom line for XYZ. | Currently, XYZ makes use of a unique ideation process for its content creation. However, we feel that this process can be improved with a data driven approach. By creating an actual documentation of what elements make up a good idea based on their historical data, XYZ will have a more structured ideation system that can be used to supplement their existing processes. This would increase the quality of ideas that are generated, that would translate to better articles and an improved bottom line for XYZ. | ||
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== Future scope== | == Future scope== | ||
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Revision as of 17:34, 5 January 2017
| Background | Data | Methodology |
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Contents
Motivation
Motivation
Currently, XYZ makes use of a unique ideation process for its content creation. However, we feel that this process can be improved with a data driven approach. By creating an actual documentation of what elements make up a good idea based on their historical data, XYZ will have a more structured ideation system that can be used to supplement their existing processes. This would increase the quality of ideas that are generated, that would translate to better articles and an improved bottom line for XYZ.
Objectives
- To analyse Facebook Insights data and make recommendations based on findings
- Geographic visualisation of likes by country (start/end) + Gender breakdown
- Analysis: What topics posted on Facebook perform the best?
- Key takeaway: these are the topics to focus on for the time being
- Analysis: Organic reach vs Paid reach
- Key takeaway: topics to “pay more”
Data
Facebook Insights Data [Duration withheld]
Methodology
Exploratory Data Analysis
