Bounty: Unmasking the State / Territory employment data.
How can we unmask the hidden data behind the labour market in our states and territories?
Go to Challenge | 8 teams have entered this challenge.
Secure your future
Project Info
Team Name
Big Orange Brain
Team Members
2 members with unpublished profiles.
Project Description
Big Orange Brain is a team of two, with software engineering backgrounds and a keen interest in open data.
Our aim for this year's GovHack was to uncover insights into better utilisation of our labour market that the Department of Jobs and Small Business will hopefully find valuable.
Data Story
Datamining the Employment Fund, Job placements and Employment projections data resulted in two key outputs:
1) the opportunity to connect Job-seekers who were previously self-employed to those seeking establish a small business
2) developing a lo-fidelity digital prototype that allows any job seeker to identify where there is demand for their current skill set, and whether this is a growing or diminshig industry.
The prototype can be found via the homepage link below.
If you have any feedback please feel free to add your comments on our Video link below.
Team DataSets
Insights for Job Placements
Job Placements
Description of Use Used this dataset for creating a cross-reference to job seekers and the skill set. Also to uncover previously unknown insights.
Employment Fund
Description of Use Used the Employment Fund dataset to cross-reference linked job seekers and their skill set to data mine for search keywords.
Employment Projections
Description of Use Key dataset for job growth forecast by state and industry sector (to be used in the mapping assets).
Vacancy Report
Description of Use Used for analysis at the state level.
Challenge Entries
My Victoria: Supporting small business making big decisions
Where are the best places for certain business types to be based?
Go to Challenge | 12 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.