Difference between revisions of "G7 Exploratory Analysis"
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Note: Due to the confidential nature of our project, we will not be able to reveal all the missing values/fields on this wiki. | Note: Due to the confidential nature of our project, we will not be able to reveal all the missing values/fields on this wiki. | ||
| − | [[Image: | + | <font color = "#ED515C" face= "Century Gothic" size=16px> |
| + | Business Unit Exploration | ||
| + | </font> | ||
| + | <br> | ||
| + | [[Image:DHL_BUs.png|center|1300x320px]] | ||
| + | <font color="#212121" face= "Franklin Gothic Book" size=4px> | ||
| + | We wanted to identify the major Business Units in our dataset. BU 4 was the top business unit in terms of number of shipments for the years 2015 & 2016 and ranked second in 2017 accounting for 43.02% of the total shipments in the data. BU 2 ranked second for the years 2015 & 2016 and ranked first for the year 2017 accounting for 28.33% of the total shipments in the data. | ||
| + | </font> | ||
| + | <br> | ||
| + | <font color = "#ED515C" face= "Century Gothic" size=16px> | ||
| + | Current Operational Performance | ||
| + | </font> | ||
| + | [[Image:DHL_Status.png|center]] | ||
| + | <font color="#212121" face= "Franklin Gothic Book" size=4px> | ||
| + | Next, we wanted to get a glimpse of the current operational performance across the 3 years. The following table shows that 40% of the shipments were delayed in our dataset and the performance does not vary much across the 3 years. | ||
| + | </font> | ||
| + | <br> | ||
| + | <font color = "#ED515C" face= "Century Gothic" size=16px> | ||
| + | Operational Performance/BUs | ||
| + | </font> | ||
| + | [[Image:DHL_BUStatus.png|center|1300x320px]] | ||
| + | <font color="#212121" face= "Franklin Gothic Book" size=4px> | ||
| + | Next, we wanted to check the difference in the operational performance across different business units. The above chart does show a very different performance for different Business units but we will have to conduct statistical tests to confirm our hypothesis which is further covered under the Confirmatory Analysis section. | ||
| + | </font> | ||
| + | <br> | ||
| + | <font color = "#ED515C" face= "Century Gothic" size= 16px> | ||
| + | Operational Performance/Flight Types | ||
| + | </font> | ||
| + | [[Image:DHL_TypeStatus.png|center|1300x320px]] | ||
Revision as of 14:52, 15 April 2018
Note: Due to the confidential nature of our project, we will not be able to reveal all the missing values/fields on this wiki.
Business Unit Exploration
We wanted to identify the major Business Units in our dataset. BU 4 was the top business unit in terms of number of shipments for the years 2015 & 2016 and ranked second in 2017 accounting for 43.02% of the total shipments in the data. BU 2 ranked second for the years 2015 & 2016 and ranked first for the year 2017 accounting for 28.33% of the total shipments in the data.
Current Operational Performance
Next, we wanted to get a glimpse of the current operational performance across the 3 years. The following table shows that 40% of the shipments were delayed in our dataset and the performance does not vary much across the 3 years.
Operational Performance/BUs
Next, we wanted to check the difference in the operational performance across different business units. The above chart does show a very different performance for different Business units but we will have to conduct statistical tests to confirm our hypothesis which is further covered under the Confirmatory Analysis section.
Operational Performance/Flight Types
