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 "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 client provide its service in the most efficient manner possible. By developing Ship-to-Profile+ (STP+), an all-inclusive and interactive dashboard which correlates operational performance and ship to profile information, we aim to help our client's Group Account Managers(GAM) team produce higher value for all stakeholders alike, and to assist leaders make more informed decisions.
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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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Different stakeholder groups associated with our client, including their customers, Product Managers, and their GAM team alike have voiced concerns with the current data visualization platform: <br>
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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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<li> Peak Season
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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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<li> Customers want to plan their delivery schedules ahead to build their business case.</li>
 
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<li> Product Managers must exercise prioritization and notify affected customers of potential delays.</li>
 
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<li> CSI team wants to prepare customers with data before the beginning of peak season, to help them build accurate business cases.</li>
 
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<ul><li>Customers want to refine contract volumes to allow higher accuracy for DHL</li>
 
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    <li>Product managers realize there is a correlation in out the door(OTD) performance, volume, and surcharges, but no effective way to visualize them without multiple monitors running different dashboards.</li>
 
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    <li>CSI team realizes a similar correlation and want to derive insights from these factors by putting them across a single page.</li>
 
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In line with our client's digitization principles, the GAM team wants to reduce manual deductions by combining operational performance factors into a single page dashboard. Thus, through the use of filters, the dashboard would provide the GAM team with insights and forecasts into future customer demands, and help them predict lane wise traffic.
 
 
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The primary objective of the project is to develop STP+, an insights visualization tool, which offers a descriptive dashboard of combined operational factors. Through the combination, the GAM team will be able draw valuable insights which will enable them to forecast per customer demand and per lane traffic amongst other benefits:
 
 
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<li>STP+ should allow the GAM team to monitor contract performance and spot patterns.</li>
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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>Help the GAM team to communicate with the customers to steer performance, and bring everyone on the same page.</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>Avoid unnecessary risks and costs by giving them accurate forecasts, leading to effective planning.</li>
 
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<li>Provide deep insights on pre-request for quotation(RFQ) to integrate with existing trends, customer behaviour and lanes. </li>  
 
 
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Overall, Project STP+ will map the road towards efficient collaboration, and drive towards greater business growth.
 
 
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Latest revision as of 18:05, 15 April 2018

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PRACTICUM HOMEPAGE


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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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