Oct 13, 2026 · 52 min · 12 segments
In Episode 28 of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom is joined by German Faraoni, Global Director of Shared Services for Data at Reckitt, where they discuss why data and AI…
I guess, given your career starting point then, helping Walmart to figure out whether the initiatives they were performing with data drove better results, let's start there then with the value question, which is still the most debated topic in our industry, I think, and probably has been for a number of years.
I guess, keen to get your perspective on this, given in the year 2000, You were having this conversation.
So if, with your permission, I will actually be snarky and provocative on purpose.
I think that all these areas, like when you have actually people that were today thinking data, but in the past was business intelligence and in the past was business analytics, et cetera.
We were still having a data or a tech mindset, and that has been our biggest boycott.
We're first business professionals in whatever it is, the industry or business you're actually delivering with a very interesting flavor of skills in data or analytics, et cetera.
Real example, even for me, a few years ago, I had in my own work plan as part of my ambition where I wanted to grow, I want to become the chief data officer.
I'm not saying the importance of aspects about the role are not there anymore, but that actually translates.
What I want to make sure is I become a business expert in a particular type of domain industry and bring some unique skills, which by the way, they were coming because I was a data practitioner.
a way of thinking about data, the architecture, things that we're going to mention.
So I think that, honestly, the organization's struggle on translating that investment is because that investment is still articulated in data terms versus business terms.
What is the outcome, the end state that I will actually get? What is the impact? Will I be able to shorten the lifecycle of an SKU to get it on the street from the next number of days to half of it.
Will I be able to deliver, for example, at half the cost, the reach to the consumers for my media? By the way, our industry, the biggest budget in the company is media.
Because if you go and you find something on a supermarket, it's not the supermarket putting that there.
For that product to appear over there with a better value equation, that is the outcome and the impact.
And for some reason, as people that have some data skills, we are missing the point of articulating that.
I guess, given your career starting point then, helping Walmart to figure out whether the initiatives they were performing with data drove better results, let's start there then with the value question, which is still the most debated topic in our industry, I think, and probably has been for a number of years.
I guess, keen to get your perspective on this, given in the year 2000, You were having this conversation.
So if, with your permission, I will actually be snarky and provocative on purpose.
I think that all these areas, like when you have actually people that were today thinking data, but in the past was business intelligence and in the past was business analytics, et cetera.
We were still having a data or a tech mindset, and that has been our biggest boycott.
We're first business professionals in whatever it is, the industry or business you're actually delivering with a very interesting flavor of skills in data or analytics, et cetera.
Real example, even for me, a few years ago, I had in my own work plan as part of my ambition where I wanted to grow, I want to become the chief data officer.
I'm not saying the importance of aspects about the role are not there anymore, but that actually translates.
What I want to make sure is I become a business expert in a particular type of domain industry and bring some unique skills, which by the way, they were coming because I was a data practitioner.
a way of thinking about data, the architecture, things that we're going to mention.
So I think that, honestly, the organization's struggle on translating that investment is because that investment is still articulated in data terms versus business terms.
What is the outcome, the end state that I will actually get? What is the impact? Will I be able to shorten the lifecycle of an SKU to get it on the street from the next number of days to half of it.
Will I be able to deliver, for example, at half the cost, the reach to the consumers for my media? By the way, our industry, the biggest budget in the company is media.
Because if you go and you find something on a supermarket, it's not the supermarket putting that there.
For that product to appear over there with a better value equation, that is the outcome and the impact.
And for some reason, as people that have some data skills, we are missing the point of articulating that.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.