Matching Applicants
How could the same business applicant be identified across multiple datasets, and over time? How could we do this in new, or interesting ways?
Go to Challenge | 8 teams have entered this challenge.
Team Name:
0pt1c N3t
Team Members:
New age Business
Project Info
Team Name
0pt1c N3t
Team Members
4 members with unpublished profiles.
Project Description
An application for people on how to create or grow their small business at easy and stress free.
Data Story
We have used these data-sets because they are relevant the project. Our prototype application will manipulate them to suite the user and display relevant information. For example; using the following data-set (https://www.data.brisbane.qld.gov.au/data/dataset/26764a23-f2cf-4272-b755-04c494b157db), the application can find nearby stores in Brisbane with all the details required. The data-set is dynamic, meaning it updates constantly as it is changed.
Team DataSets
Employment Fund
Description of Use we are using this as references towards small business and enterprises because it relates to our application.
Job Seeker Compliance Data
Description of Use we are using this as references towards small business and enterprises because it relates to our application.
Jobs Services Australia Vacancy Data
Description of Use we are using this as references towards small business and enterprises because it relates to our application.
Survey of Employers' Recruitment Experiences
Description of Use we are using this as references towards small business and enterprises because it relates to our application.
digital Enterprise
Description of Use we are using this as references towards small business and enterprises because it relates to our application.
Employment Projections
Description of Use The way we are going to be using this data set is by looking at the information that has been given to us. We will create a professional application that helps people who are looking to create a small business and make profits. This data set will be used by using building approval a
Regional statistics
Description of Use we are using this data set to create the application to help small business owners
Building aproval
Description of Use The way we are going to be using this data set is by looking at the information that has been given to us. We will create a professional application that helps people who are looking to create a small business and make profits. This dataset will be used by using building approval and
Challenge Entries
Your Friendly Council
How can councils collaborate and use information to deliver better services to communities across South Australia?
Go to Challenge | 11 teams have entered this challenge.
City of Adelaide – the place to live work and play
How can data show the world that Adelaide is the place to live, work and play?
Go to Challenge | 8 teams have entered this challenge.
Better Services - Citizens at the Centre
How can we provide better services to South Australian citizens and businesses?
Eligibility: Must be resident of SA The project must use more than one dataset from Data SA.
Go to Challenge | 17 teams have entered this challenge.
To bankruptcy or not to bankruptcy, keeping the process real.
Helping predict non-compliance in the personal insolvency system. How can Artificial Intelligence and Machine Learning assist us in the future?
Eligibility: Must use this dataset: https://data.gov.au/dataset/non-compliance-personal-insolvencies
Go to Challenge | 13 teams have entered this challenge.
Work Life Made Easy
How can we make work life easier for employers and their workforces – now, and into the future?
Go to Challenge | 27 teams have entered this challenge.
A New Start
How can we improve the process of starting or growing a business?
Eligibility: Must use GNAF
Go to Challenge | 21 teams have entered this challenge.
On your mark, get set, start-up!
How do startups have the potential increase job demand in the long term?
Go to Challenge | 8 teams have entered this challenge.
Lower Costs - Improving the Lives of South Australians
How can we improve the lives of South Australians by lowering costs?
Eligibility: Must be resident of SA The project must use more than one dataset from Data SA.
Go to Challenge | 4 teams have entered this challenge.
More Jobs - Empowering South Australia
How can we create South Australian growth?
Eligibility: Must be resident of SA The project must use more than one dataset from Data SA.
Go to Challenge | 5 teams have entered this challenge.