E-commerce Dashboard By Wilson Tsang
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08.11.2018
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E-Commerce
Dashboard
By Wilson Tsang
& HungJu Tze
Thesis Supervisor: Professor Mark S. Fox
Overview
Introduction
Analysis
Design
Implementation
Future Development
Conclusion
Background
Motivation
While a classic website could survive with 95% availability, an E-Commerce solution could hardly last with a few
hour of downtime in a week
Accurate measurement of e-Commerce Website’s performance is needed in order to make E-retailers profitable
Thesis Objectives
The E-Commerce dashboard is developed to do performance measurements
This will enable e-retailer to:
Review strategies
Spot abnormal
state of website immediately
Restructuring their operations with trading partners
Become profitable and viable
Industrial Partner
Novator.com is the E-commerce solution provider
FTD.com is a website which sells flowers and gifts on the internet
E-commerce dashboard will be developed for both of them to measure
performance of the website
Existing Solution
Problems with Existing Solution
Poor structure of content
Information is not organized
Interpretation is needed
to understand the information
The key performance indicators (KPIs) offered is insufficient for the E-Commerce situation
Requirements
Provide an intuitive interface by using EID (Ecological Interface Design) technique
Provide an interface that the user can spot any abnormal state in the E-Commerce quickly
Develop new KPIs based on the nature of E-Commerce environment to enhance the measurement of business performance
Work
Domain Analysis
Define system boundary
Construct the system model
Derive information requirement from the system model
Key Performance Indicators
Visitor
Order
Revenue
Conversion rate
Average
order value
Average time spent
Shopping carts abandon
Customer visit frequency
Popular product
Prototype Design
User Evaluation of Prototype
Too much information shown.
Historical data should be added as a frame of reference.
More gadgets can be shown instead of tables.
New KPIs
Customer
order frequency
Most accessed product
Most purchased product
Final Design
Implementation I
Java and XML technology is chosen
Java is :
Portable
Object oriented
Easy
to learn
Implementation II
Functionalities:
Reads required data from XML file
Processes data and transforms data into relevant information
Generates tables and graphs to display information in HTML form
Future Development
Ticktack Bar
Measuring
Product Brand Value
Conclusion
Lack of performance measurement of e-Commerce Website often translates into lost revenues and customers
E-Commerce Dashboard will enable E-Retailer gain better understanding of their e-Commerce strategy and gain more profit
Thanks for your attention!
Questions???
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