Wai Phyo Kyaw | Seetoh Yong Chuen | Daryl Lee

Gain an understanding on how a logistics business measures their operations performance Industrial Practice - Using operational data to derive the key performance indicators Y3 maintains a large number of logistics and delivery operation related information systems These charts give insights on operation performance against various KPI measures Tedious and have maintenance overheads, limited user interaction Y3 is currently planning on providing its users with a visual analytics tool that would be able to offer interactivity and yet be simple enough for users to learn Store Operations Data in various Information Systems Extract data monthly to derive the KPIs (inventory & delivery operations) Use MS Excel to collate and generate score card Motivation for Project

Objectives of Project Develop an end user reporting tool that effectively communicates the various KPI scorecards used to assess the level of performance in the firm Create a user manual package for the clients in order to assist in user training of tool

Methodology Used Data used for our analysis is provided by Y3 Technologies Extracted data are stored in numerous MS Excel files Compile these data into a single file Use JMP to compile and prepare the data before loading into a database

Project References (Internal) Description: Customer Satisfaction Project by Team Statisfied that uses a Heatmap to assess customer satisfaction across different touchpoints in a hospitals. Source: 11t1is428/IS428_Visual_Ana lytics_Project:_IS428_ _VA_Project_T14

Project References (External) Description: A order fulfillment dashboard application used to track incoming orders, incoming fiscal orders for 2 warehouses for the previous year, shipping orders, fiscal orders shipped for the previous year, top 10 shipping customers for the previous year and backlog by month. Source: /idashboards/?guestuser=wpman1 /idashboards/?guestuser=wpman1

Project References (External) Description: Strategic Solutions by Unyson Logistics, a 3PL, who provides tech solutions for similar logistics company. The dashborad shows the overall shipment volumes and number of shipments across the different states in North America. Source: whatwedo/index.aspx?id=78

Dashboard Hierarchy Main Dashboard TransAgent/Buyer Performance Pass/Fail RatioCases Y3 Overview Scorecard Growth RateRunning TotalCases Damages Scorecard (KIV) Breakdown of damages per TransAgent Cases

Proof of Concept – Trans Agent Performance

Proof of Concept – Trans Agent Performance (Drill Down) Reason Filter

Proof of Concept – Y3 Delivery KPI 1. Overview

Proof of Concept – Y3 Delivery KPI

Proof of Concept – Y3 Delivery KPI (Drill Down)

Proof of Concept – Damages (KIV)

DO_NumberNo_PolTPT Customer_Na me MaterialDamageQtyRemarks Status_on_D O Comments_Y CH COMPANYGatePass_No.Data_Month R1632HBADIGUNAXXX103395D11 D1 - REPACKABLE AND RESALEABLE EXCEPT INDUCED BY FFI TALLY AAA June B9003JRADIGUNAYYY103448D11 D1 - REPACKABLE AND RESALEABLE EXCEPT INDUCED BY FFI TALLY AAA June B9528OTADIGUNAYYY103450D14 D1 - REPACKABLE AND RESALEABLE EXCEPT INDUCED BY FFI TALLY AAA June G1773CGADIGUNAZZZ103450D14 D1 - REPACKABLE AND RESALEABLE EXCEPT INDUCED BY FFI TALLY AAA June

Schedule Iteration 1: File Loader and JSON Output Generator Modules Iteration 2: Trans Agent Performance, Y3 Delivery Scorecard, Damages InfoVis D3 scripts Post-Poster Day Changes: Modifications to Dashboard from feedback received

Milestones Milestone 1: Approval of Project Proposal and Client Review of Training Documents Milestone 2: Final Client Review and Completion of Poster Day Milestone 3: Submission of Deliverables

Roles and Responsibilities Daryl Lee Ker Hwa : Data Analyst + InfoVis Developer Modules Assigned – Data Loader Classes, Trans Agent Performance InfoVis Lex Seetoh Yong Chuen : InfoVis Architect Modules Assigned – JSON Output Generator, Trans Agent and Damages InfoVis Wai Phyo Kyaw : Client Liaison + InfoVis Developer Modules Assigned – JSON Output Generator, Y3 Delivery Scorecard InfoVis

Development Environment JMP Pro 9 Data manipulation, transposing, etc Tableau Public Creation of initial mockups NetBeans JSP csv upload + JSON format conversion Inkscape Initial design of InfoVis + SVG output NotePad++ / TextWrangler Creation of D3.js scripts Browser Inspectors To debug javascript errors

Project Risks #1 Unfamiliar Development Tools Description: New languages such as D3 Integration with Javascript and output files such as JSON and SVG which are new to the team New frameworks to be adopted Mitigation Strategy: Each member takes charge of at least on InfoVis in order to ensure that team has an understanding of how to code in D3 Set aside days to learn new tools

Project Risks #2 Inconsistent Data Format Description: Massive operations data in inconsistent formats Repopulate certain columns ourselves, replacing certain information Mitigation Strategy: Work closely with client’s operations manager to understand the columns used in current scorecards Consolidate relevant data into one integrated sheet Create calculated columns for visualization purposes (i.e. % late deliveries)

Project Risks #3 Technical Limitations Description: Unearthed limitations of D3.js, JSON format, etc. Could affect feasibility of chosen InfoVis designs Mitigation Strategy: Consider as simple InfoVis designs as possible Damages InfoVis used as backup plan should team fail to deliver TreeMap InfoVis

Project Risks #4 Misinterpretation of Client’s Expectations Description: Client’s expectations of tool review might differ from team’s perspective Mitigation Strategy: Frequent follow up with clients in the form of fortnightly meetings and queries Client review sessions for milestones 1 and 2 to ensure expectations are met before moving on to next phase