Difference between revisions of "ANLY482 AY2017-18T2 Group07"

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<center>Note: due to the confidential nature of this project, we shall refer to our Project Sponsor as the "Sponsor" throughout this wiki. We will not be able to publish major findings and any visualization or graphics made in line with this measure.</center>
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<center>Note: due to the confidential nature of this project, we shall refer to our Project Sponsor as the "Company X" throughout this wiki, and all other entity names have been anonymized. </center>
 
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Team Data Heavy Legends(DHL) wants to help its sponsor provide its service in the most efficient manner possible by making sense of the data they currently have. Through our efforts we hope to satisfy all stakeholders involved equally.
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Team Data Heavy Legends wants to help its sponsor provide its service in the most efficient manner possible by making sense of the data they currently have. Through our efforts we hope to satisfy all stakeholders involved equally.
 
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The sponsor company is one of the world’s largest logistics companies (Company X). It provides international courier, parcel ad express mail services. With a vast global network which spans over 220 countries and territories, Company X has an inevitable need to establish and maintain strong relationships with its clientele.
  
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Our sponsor company is one of the worlds largest logistics companies providing international courier, parcel and express mail services. They have a  vast global network which spans over 220 countries and territories, and establishing and maintaining relationships with its clientele is key.  
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Within the Sponsor organization, the team has been directly liaising with Group Account Managers (GAM). A typical GAM manages the account of one Business Unit (BU) of a large client. The team aims to help GAMs get a better idea of the operational performance being delivered to the clients they are serving.  
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Our sponsor, the Group Innovation Strategy(GSI) department functions as the consulting arm of this logistics company. It aims to improve operational efficiency across multiple business accounts to ensure that the Group Account Managers (GAM) are successfully able to increase value across their stakeholders.  
 
 
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Motivation
 
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Objectives
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Research Objectives
 
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Our team wants to help the sponsor make better sense of their data. During this preliminary stage, we intend to achieve the following:
 
 
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<li>Data cleanup:
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<li>To understand the difference between the operational performance across business units and flight types through suitable statistical tests </li>
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<li>To explore different visualizations in order to represent the results from the statistical tests used and provide a more comprehensive view </li>
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  <li>Inconsistencies in the data, for example- a text input in a numeric column</li>
 
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<li>Exploratory Data Analysis:
 
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  <li>Basic exploratory analysis to check skews in the data and identify general trends</li>
 
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  <li>Identify the bottlenecks in the shipment journey affecting the operational performance</li>
 
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  <li>Analyze the shipment patterns and trends for lane-wise pairs in the existing dataset</li>
 
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After the initial round of EDA, our team concluded that to help our sponsor in a sustainable manner, it’ll be essential to develop a visualization tool that encapsulates all key datasets.
 
 
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Latest revision as of 18:05, 15 April 2018

DHL Banner.png


HOME

 

PROJECT OVERVIEW

 

ANALYSIS & FINDINGS

 

PROJECT MANAGEMENT

 

ABOUT US

 

PRACTICUM HOMEPAGE


DHL tracker.PNG


Note: due to the confidential nature of this project, we shall refer to our Project Sponsor as the "Company X" throughout this wiki, and all other entity names have been anonymized.



Team Data Heavy Legends wants to help its sponsor provide its service in the most efficient manner possible by making sense of the data they currently have. Through our efforts we hope to satisfy all stakeholders involved equally.


Project Sponsor

The sponsor company is one of the world’s largest logistics companies (Company X). It provides international courier, parcel ad express mail services. With a vast global network which spans over 220 countries and territories, Company X has an inevitable need to establish and maintain strong relationships with its clientele. Within the Sponsor organization, the team has been directly liaising with Group Account Managers (GAM). A typical GAM manages the account of one Business Unit (BU) of a large client. The team aims to help GAMs get a better idea of the operational performance being delivered to the clients they are serving.

Research Objectives

  1. To understand the difference between the operational performance across business units and flight types through suitable statistical tests
  2. To explore different visualizations in order to represent the results from the statistical tests used and provide a more comprehensive view

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