BidBetter - Insights to GeBiz Tenders

Overview

Welcome to our project website for ISSS608 Visual Analytics & Applications where we will be deriving insights into government procurement.

GeBIZ encompasses the public sector's request for quotations and tenders within the procurement procedure set out by Ministry of Finance. Records of Government Procurement via GeBIZ between 1 April 2016 and 31 March 2022 are available on data.gov.sg. In this project, we aim to extract valuable insights on government procurement by categorizing the products or services from the raw text provided by GeBIZ.

Exploratory Data Analysis (EDA)

Visualize the total amount awarded to each category using Pareto chart
Identify related key words to each category using Wordcloud

Mean Comparison Analysis

Use violin plot to compare the means across time

Network Graph

Investigate the connectivity between different ministries/agencies and suppliers using network analysis
Identify any strong links or biases

Project Details

We are pleased to present our proposal detailing our approach to categorizing the products and services listed on GeBIZ. This document outlines our team's understanding of the project's goals, our methodology, and the proposed visualizations to provide insights into government procurement. The following pages provide a comprehensive overview of our proposal and demonstrate our capability to deliver the desired outcomes.

Poster

Our poster showcases a visual design solution for analyzing tenders in the GEBiz. In this poster, we will detail our motivation for this project, the issues and problems we sought to address, the design steps we took, and our plans for future development

App and User Guide

Click on each picture to go to our app or see our user guide.

Shiny App

Click here to view our Shiny App

User Guide

Click here to view our User Guide for the Shiny App

Our Amazing Team

We would like to thank Prof Kam for his invaluable help and guidance throughout our project. His expertise and dedication have been instrumental in our project success, and we are truly grateful for his mentorship.

Group 8

Left to Right: Willie Lau, Eda Chang, Olivia Wang

Our Mentor

Prof KAM Tin Seong
Full-time Faculty, SMU
Associate Professor of Information Systems (Practice)