Back to All Events

Deloitte Datathon 2019


deloitte site.png
 

Hackathon

Free Event

Event Information:

https://www2.deloitte.com/uk/en/pages/risk/events/deloitte-datafest.html

Register for Challenge (11th & 12th March):

https://www2.deloitte.com/uk/en/pages/forms/event/productivity-datathon-competition.html

Register to Attend Final Presentations (6pm-9pm 12th March):

https://www2.deloitte.com/uk/en/pages/forms/event/productivity-datathon-presentation.html

Deloitte Datathon 2019

Monday 11th March & Tuesday 12th March

The third annual Deloitte Datathon – as part of Datafest 19 – will be the biggest and best Datathon to date.

Teams will be given a challenge to utilise data and technology to tackle a specific problem or topic area (challenge TBC). This challenge will be cross industry – covering all sectors including financial services, corporate and public sector.

This year’s event will be held in our Deloitte Office in Edinburgh (participants will get to choose which location suits them best).

Timings are to be confirmed

The final presentations will take place on the evening of Tuesday 12th March, where teams will present their findings to a wider audience, while also hearing from leading speakers (across all sectors) who will share their insight and views. The evening will finish with some drinks and the winning teams being announced.

The target audience for the Datathon is anyone with an interest in data, technology / hackathons from all backgrounds including industry, students and academia.

Attendees can either be participants (attending both days) or can be presentation attendees (Tuesday evening).

We are looking for approximately 30-35 participants and 50-60 additional presentation attendees.

As showcased over the last two years, running a Datathon showcases the true power of data and how through collaboration, new ideas and solutions can be created to make the world a better place.

Data is an aspect of everyday life at Deloitte - we would closely with clients from all sectors to better understand, organise and utilise their data.