Canberra Business Ninja

Project Info

Team Name

Team 36

Team Members

3 members with unpublished profiles.

Project Description

Scaling your SMB (Small and Medium-sized Businesses) is hard work. It's difficult to ascertain if a particular business district or the local corner shops is the best place to move to or best place to set up a new store. Understanding your customer where your customers are is one thing, understanding your business needs is another.

Data Story

CanberraBusiness.Ninja offers local councils and governments the ability to analyse the demographics, geography, infrastructure and other economic data of areas within their jurisdiction by comparing the nature of businesses that already exist within their area of interest to similar businesses that sustainably operate in suburbs with a similar nature.

In doing this, segments of the economy, industries, or specific businesses that are lacking within a local council's area of interst are immediately flagged.
For example, if a suburb of interest contains 2 bakeries per 1000 people, but a similar suburb sustains 5 bakeries per 1000 people, then the fact that the density of bakeries within the area of interest is flagged. This allows governments to understand the deficiencies within their local economy from which they can plan zoning, infrastructure, and education/training to develop their local economy and create employment.

However, just because a government knowns which businesses are under-represented with an area, it is very difficult for them to dictate to entrepreneurs what businesses they should open and where those businesses should be located.

CanberraBusiness.Ninja addresses this problem by recommending to entrepreneurs and small business owners which places are optimal to locate their businesses; the under-represented businesses within a council area are the same areas that we recommend entrepreneurs to open businesses.

The way that our web application recommends locations to entrepreneurs is based on demographic and economic data to find where their business achieves the best market fit and least competition based on their data input into our application. The data a small business owner inputs relates to the nature of their target customers from which our application analyses the demographics of towns and suburbs to find the best fit.

Quirkyness is determined by how many public art displays are in a certain general locality (for example Woden as opposed to Phillip)

We take a normalised average of age, income and public art displays against each suburb in Canebrra.
This is done by taking the min and max then noramlise to output a score between 0 and 1 that determins the colouring for each suburb.

Evidence of Work



Team DataSets

Public Art List

Description of Use Quirky Canberra fun facts

Data Set

Graffiti Sites

Description of Use Quirky Canberra fun facts

Data Set

Census Datapack (ACT)

Description of Use Population data of Canberra, specifically age and income brackets to population

Data Set


Description of Use Postcode <-> Suburb name

Data Set

Challenge Entries

First Hackers

Awarded to the best project from a team of first-time hackers

Go to Challenge | 9 teams have entered this challenge.

ACT GovHack Acceleration Award – sponsored by the ACT Government in partnership with the Canberra Innovation Network

What is life in Canberra?

Go to Challenge | 7 teams have entered this challenge.

Quirky Canberra

Awarded to the team who uses data to highlight the quirkiest facts about Canberra that changes people’s perceptions of the city

Go to Challenge | 8 teams have entered this challenge.

Future Canberra

What does a sustainable, resilient and liveable Canberra look like – and what do we need to do to make that happen?

Go to Challenge | 9 teams have entered this challenge.

Business Canberra

How do we make it easy for business to start, grow, employ and thrive?

Go to Challenge | 7 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.

More than apps and maps: help government decide with data

How can we combine data to help government make their big and small decisions? Government makes decisions every day—with long term consequences such as the location of a school, or on a small scale such as the rostering of helpdesk staff.

Go to Challenge | 58 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?

Go to Challenge | 21 teams have entered this challenge.