#230: From Walmart to ASB Bank: Achieving some of the largest data transformations in the world, with Bora Arslan

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Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

Felipe Flores

266 episodes

1 week ago

Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it. Join me, Felipe Flores, a Data Science executive with almost 20 years of experience in the space. Every week I speak with top industry leaders from around the world

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#230: From Walmart to ASB Bank: Achieving some of the largest data transformations in the world, with Bora Arslan

Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

42 minutes 10 seconds

2 years ago

#230: From Walmart to ASB Bank: Achieving some of the largest data transformations in the world, with Bora Arslan

In the world of data analytics, there are few that have achieved as much as Bora Arslan, who joined us for this week’s podcast. Arslan has driven data transformation exercises across some of the largest organisations in the world. These organisations include Walmart and Ford in the US, and IAG here in Australia.

On the podcast, Arslan shares many insights from his time as a Chief Data Officer. From his strategies for getting organisational buy-in for transformation, to the ways in which he prefers to build and manage teams, Arslan provides us with a blueprint for how the modern data executive should look at the work that they do.

One of the key messages that Arslan shares is that data analytics executives need to get as close to the organisation as possible. If they report to the CIO and their team is nested within IT, they’ll be seen as a support function, rather than a strategic one. The closer the Chief Data Officer can get to other lines of business and the CEO, the better they can understand the needs of the business and develop strategic and transformative solutions in direct collaboration with the other key stakeholders.

The challenge is that to be able to do this, the data team needs to learn how to speak the language of the other executives and lines of business. This has been one of the key reasons for Arslan’s ongoing success in his own roles.

Tune in to hear more great insights from one of the real thought leaders in our space!

Thank you to our sponsor, Talent Insights Group!

Connect with Bora: https://www.linkedin.com/in/bora-arslan/

Hear more from Bora and our awesome speaker faculty at Advancing AI Melbourne: https://www.datafuturology.com/advancing-ai-melbourne

Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng

What we discussed

0:00 - Introduction

3:45 – Bora explains his background and what the last eight years in various executive roles has been like.

8:36 – How to define the role of a chief data officer in a large enterprise?

13:13 – What leaders can do to lead change management across the organisation and bring people on the transformation journey.

15:58 – How data analytics heads benefit from direct interaction with the CEO and executive team, rather than being a support function to the CIO.

18:46 – The most effective ways Chief Data Officers can influence C-level executives around them.

21:21 – On building teams: What are the most effective ways to structure data teams?

23:29 – The most effective ways to optimise project delivery, and the value of having a project management team within the organisation.

26:30 – Should the change management function sit within the data analytics team, or should it be more centralised within the business lines?

28:03 – A summary of the processes and methodologies key to driving successful analytical functions.

32:40 – Looking forward: The technologies to look forward to in the next year or two.

35:57 – Bora shares his career highlights to date.