How can City of Melbourne data be used to help businesses make better decisions?

Supported By: 
City of Melbourne

The City of Melbourne has data that could be helpful for new and existing businesses to make better informed decisions, including data relating to location, new development, pedestrian activity, mobility and leisure. However this information is not readily accessible in a seamless and easily digestible way. How can the City of Melbourne; · Make this data accessible to the business community to inform their strategic decisions regarding location. · Improve the way in which City of Melbourne collects information about business activity in the city.

 

Eligibility Criteria

Use at least one city of Melbourne dataset.

LiveSafe

Team Name: 
Thunderbolt

Project Description

Data analysis and data journalism project, focussed on the causal factors of Family Violence within Victoria.

These informed data findings, discussed in a high level overview, data journalism format, will allow stake holders to gain an in depth understanding of key factors that drive the reduction of family violence incidents.

This data analytics and predictive modeling research will be utilized to visually depict relevant factors, trends and recommendations in family violence issues.  

Patented

Team Name: 
Team Zr0

Description

IP Australia has released their data on administered patents and trademarks. We generated a series of visualizations based on these statistics. Applications were grouped by status, application type and location, both state-level and country-level. 

Difficulties faced

  • Large dataset
  • Instructions unclear

Tech Used

  • Power BI
  • Microsoft Azure storage

futureNow

Team Name: 
Level One

futureNow is a web application that predicts the volume of people using different modes of transport for specific locations (i.e: train stations). Predictions on train patronage and traffic volume are based on weather indicators and time variables (day of the week, month etc.)

Welcome, my new neighbour!

Team Name: 
DataFrenzy

We are creating a map first guide for new comers to the neighbourhood. 

This will first facilitate people who moves to a new area or tourists visiting a new place. 

Data from the city of melbourne will be a good start for the app. 

Quantitative information will be generated through a data-mining algorithm to present.