Small business solutions

Project Info

Business Complete | Analytics Lab thumbnail

Team Members


2 members with unpublished profiles.

Project Description


Business Complete | Analytics Lab uses Australian government data to provide insights for users to make impactful decisions before starting a business. It also helps existing business owners to assess and evaluate their business location and to align their strategy with the trends of their surrounding.


Data Story


Business Complete | Analytics Lab uses a big data approach to extract knowledge from available government data silos including structured data and unstructured data including population, income, industry, buildings, transport and mapping data. The team draws on peer-reviewed scientific research findings to benchmark identified traits and trends in the data using clustering analysis and also using regressional models on the existing data to predict future outcomes.


Video

Homepage

High-Res Image

Team DataSets

ABN Bulk Extract Schema

Data Set

The NDIS demand map

Data Set

Vic.data

Data Set

data.vic

Data Set

SEED - Sharing and Enabling Environmental Data

Data Set

Stocktake of Australian Innovation Precincts - June 2019

Data Set

New Business Assistance with NEIS data

Data Set

Challenges

TM-Link Data Discovery

TM-Link is a newly available trade mark database developed in collaboration between IP Australia, Swinburne University and Melbourne University. TM-Link includes administrative data from jurisdictions across the world, linked at the application level by advanced neural network algorithms. We are encouraging hackers to explore this new data set and consider what creative visualisations, innovative insights and/or opportunities to further enrich the data they might imagine.

Go to Challenge | 8 teams have entered this challenge.

Leveraging innovation precincts to drive economic prosperity.

How might we build on interaction between businesses and research institutions in Australian innovation precincts, to boost business capability, growth, and job creation?

Go to Challenge | 23 teams have entered this challenge.

Public Transport for the Future

How might we combine data with modern technologies - such as AI/ML, IoT, Analytics or Natural Language interfaces - to better our public transport services. Outcomes could take the form of new commuter experiences, reduced environmental impact, or helping plan for the future.

Go to Challenge | 45 teams have entered this challenge.

Ultimo: what are the building blocks of an innovative precinct?

What makes an innovative precinct? With huge infrastructural developments in the Ultimo community changing the way people live, work and play in and around the Ultimo area, how might we more accurately predict what the precinct will need in the future to ensure it is a hub for innovation, creativity and entrepreneurship?

Go to Challenge | 7 teams have entered this challenge.

Helping a social impact ‘start up’ (small organisation) to tell their story

Small and informal community/interest groups who have formed to solve local problems need data to know if their activities are making a difference and to re-design programs. How can we help these groups tell their story through data so they can seek support (political, financial, and on the ground) by showing how their programs are working, and decide where to focus next?

Go to Challenge | 23 teams have entered this challenge.

🌟 Small Business; Big Decisions

Where you choose to open a business plays a big role in whether you succeed or fail in small business. Many business owners make these decisions based on gut-feel or by doing extensive desk-research. How might open data help small business make better decisions?

Go to Challenge | 13 teams have entered this challenge.

Helping Start-ups and New Small Businesses in Australia

Choose one of the following questions to address: 1. What trends in business activity can help encourage self-employment through NEIS? 2. What type of NEIS businesses are being started and are successful (participated in the full 12 months of NEIS Assistance) and what can we learn from broader industry growth areas? 3. How do we encourage self-employment through greater participation in NEIS for cohorts currently underrepresented?

Go to Challenge | 21 teams have entered this challenge.