The Datathon ‘problem to solve’ and data sets will be revealed on the kick off weekend, but the theme of the event is ‘Transforming Decision Making’.

We will be looking for teams to use the provided datasets to explore both government and private sector opportunities to use data to drive:
a) Increased productivity outcomes for business and government
b) Innovative problem solving approaches to well-known business problems across industries

Yes. The data contributors will provide an overview of the data structure and also a data dictionary but not much else will be revealed. It is up to your team to analyse data and generate insights.

No, you can’t use additional publicly available data.

MBS has partnered with SAS to ensure that your team has the best tools for the job! Through the SAS analytics solutions you will also be able to use open source software like R and Python and also Excel.

Registrations are only open to teams of 4-6 participants for several reasons. Firstly, Analytics used to identify business insights are rarely performed in isolation, so we believe team work is essential. Secondly, deeper insights should be identified through team work as the whole is greater than the sum of the parts.

You must pre-form teams and register before the event. Give thought to your team name because if you make the finals, this team name will be displayed to judges and an audience of 800-900+ people.

The mission of MBS’ Centre for Business Analytics is to ‘Transform decision making through business analytics’ so the judging criteria will be focused on both generating valuable and actionable insights through analytics, and also effectively communicating those insights to influence decision-making.

Application and participation in the Datathon is free! There is a total of $25,000 in prize money. The top student-only team will be awarded $5,000. The open first prize is $12,500. Second prize is $5,000 and third prize is $2,500. To be eligible to win the student-only prize, all team members must provide student numbers to register, and student cards need to visualised (no exceptions).

No, the Datathon is open to people of all skill sets and capabilities, but it would be advised to have strong analytics capability in your team to generate the insights.

To be eligible to enter and win the Datathon, all registered teams must attend the morning session of the kick-off day Saturday 24th August to register, receive the datathon challenge, discuss the rules and logistics.

If your team is selected as a finalist, you will need to pitch in front of judging panel and audience at the MBS Business Analytics Conference on Tuesday 3rd September.

You can only enter teams of 4-6 participants. You can only be a member of one team. You can’t enlist any help from anyone outside your team. The only data sources allowed to be used for the Datathon will be on the Data Republic platform and you must reference on each slide the data sources used for each analysis. To be eligible to win the student-only prize, all team members must provide student numbers to register, and valid student cards need to visualised (no exceptions). Teams from sponsors are not eligible to win prize money, although they can be judged finalists. Data contributors are eligible to win prize money as long as they don’t exclusively use their own data, and their own data does not represent more than 25% of the data used for analyses (all data sources used for each analysis must be specified on each slide).

You will be well fed and hydrated throughout!

SAS’ industry recognised, open source integrated analytics platform, SAS Viya will be available to the Datathon participants, including; SAS Visual Analytics, SAS Visual Statistics & SAS Visual Data Mining and Machine Learning. The SAS Studio web browser interface will also be available.

The SAS Viya virtual learning environment can be accessed from http://support.sas.com/training/elearn/access.html.

Yes, An activation code will be emailed to you once your application to participate in the Datathon has been confirmed

The virtual learning environment includes tutorials explaining how to get started as well as how to manage and visualize data. The virtual learning environment also includes tutorials showing how to program in SAS Viya, use SAS Visual Analytics and SAS Visual Statistics and how to use SAS Studio.

Access to SAS Viya and SAS Studio will be provided via the SAS virtual learning environment.

Check out the SAS Video Portal and the tutorial library – video.sas.com
Also, SAS provides a range of free eLearning programs – support.sas.com/edu/elearning.html”
Plus, you can review learning pathways to start your learning journey – http://www.sas.com/offices/asiapacific/sp/training/paths/

Download SAS University Edition to access SAS for FREE for learning purposes for non-commercial use – www.sas.com/universityedition

The SAS Academic Program Student site (https://www.sas.com/students) provides further information about how SAS supports students.

Yes – you can join the SAS Analytics U Community (https://www.sas.com/en_us/learn/academic-programs/resources/sas-university-community.html).

Melbourne Business School offers a Master of Business Analytics (https://mbs.edu/education-development/degreeprograms/masterofbusinessanalytics), where you will learn SAS and receive a Certificate in Business Analytics from SAS in recognition of your skill in using its world-leading analytics software.

You will be able to use R and Python in a totally normal fashion, that is without having to use or connect to SAS, from a provided virtual Windows desktop (the Data Republic “Data Science Workspace”) that you connect to from your own laptop or device via a web browser. For security and data licensing purposes the data doesn’t leave this secure desktop “Workspace”, so you won’t be able to download the data to your own laptop and then work with it in your own installed tools for example. Data Republic are providing installations of R + R-Studio and Python + Jupyter on the Workspace for you to use, and SAS will be accessible from the Workspace via web browser, as well as through APIs if you want to use these.

While R and Python are independent, you will have the *option* in R and Python on the Workspace to use the provided SAS REST APIs to connect to your team’s SAS server, in order to call SAS capabilities from R or Python. You can read about these here – these are totally optional:

https://github.com/sassoftware/python-swat
https://github.com/sassoftware/R-swat