Difference between revisions of "ANLY482 AY2017-18T2 Group27 : Project Overview / Methodology"

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==== 7.1 Tools Used ====
 
==== 7.1 Tools Used ====
In this project, 2 main tools will be used - Power BI and Python.  
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In this project, 2 main tools will be used - Power BI and Excel.  
  
Power BI is the choice of tool by DHL and data visualisation will be done on this medium. Also, with the large dataset, Python will be used to build regression model.
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Power BI is the choice of tool by Company X and data visualisation will be done on this medium.  
  
 
==== 7.2 Project Methodology ====
 
==== 7.2 Project Methodology ====
 
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Since we have not obtained the data yet, we were unable to come up with a comprehensive project methodology.
 
  
 
Our brief plan of action includes doing descriptive analytics and predictive analytics. Descriptive analytics will be done via doing data visualisation. We will be combining various descriptive analysis of operational factors into a dashboard which will allow Company X to monitor, track and diagnose. Additionally, a regression model to allow Company X to better forecast shipment behaviour. We will also be doing secondary research from various journal articles to potentially supplement our project.  
 
Our brief plan of action includes doing descriptive analytics and predictive analytics. Descriptive analytics will be done via doing data visualisation. We will be combining various descriptive analysis of operational factors into a dashboard which will allow Company X to monitor, track and diagnose. Additionally, a regression model to allow Company X to better forecast shipment behaviour. We will also be doing secondary research from various journal articles to potentially supplement our project.  

Revision as of 11:07, 2 March 2018

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ANLY482 AY2017-18 T2 Projects

Description Data Methodology

7.0 Methodology

7.1 Tools Used

In this project, 2 main tools will be used - Power BI and Excel.

Power BI is the choice of tool by Company X and data visualisation will be done on this medium.

7.2 Project Methodology

Our brief plan of action includes doing descriptive analytics and predictive analytics. Descriptive analytics will be done via doing data visualisation. We will be combining various descriptive analysis of operational factors into a dashboard which will allow Company X to monitor, track and diagnose. Additionally, a regression model to allow Company X to better forecast shipment behaviour. We will also be doing secondary research from various journal articles to potentially supplement our project.

As of now, we will be focusing on understanding and cleaning the data.