Resource Revolution: The Resource Management Podcast
Oct 28, 2026 · 41 min · 9 segments
What do resourcing decisions have to do with audit quality, regulatory risk, and equitable opportunities? Everything.In this episode of Resource Revolution, host Christine Robinson is joined by…
Yeah, so as the resource management function at EY has evolved, the data has to evolve with it.
And you'll hear a lot at the moment from an EY perspective around a single source of truth from a data perspective, because then we can make critical leadership decisions that are the right decisions for our business and for our people.
So the data that my team produces from a resource management perspective, and it is quite broad.
But the data that we provide is critical to the decisions that my leadership team make, both from a talent perspective and a business perspective.
So that could be workforce decisions, or it could be around investment and pipeline and upskilling of people as a consequence of the data we provide.
We clearly also provide forecast data for our business and actually is more and more relied upon because it's more and more accurate.
Many of us in the resource management space, I would say, are rather well-networked in this particular area because there's not that many, right? There's not that many, especially as you think about public accounting and you start to get more niche in that space.
So my question for you is, as you talk about this concept of, we'll call it the turning that data into insights, right? And it sounds as well, you didn't use this word necessarily, but advising, right, based off of that information.
What I have found is that there are a number of resource managers and resource management leaders that They have the excitement, right? They want to advance.
Can we talk about some specific, just real practical examples? There's someone out there that's establishing resource management.
They're working with leaders that are perhaps – Not sure, you know, if they buy into this whole process, what are some of those pieces of data that your team would provide?
But that can that can feel quite cold until you put, I always say the so what around it.
Yeah, so as the resource management function at EY has evolved, the data has to evolve with it.
And you'll hear a lot at the moment from an EY perspective around a single source of truth from a data perspective, because then we can make critical leadership decisions that are the right decisions for our business and for our people.
So the data that my team produces from a resource management perspective, and it is quite broad.
But the data that we provide is critical to the decisions that my leadership team make, both from a talent perspective and a business perspective.
So that could be workforce decisions, or it could be around investment and pipeline and upskilling of people as a consequence of the data we provide.
We clearly also provide forecast data for our business and actually is more and more relied upon because it's more and more accurate.
Many of us in the resource management space, I would say, are rather well-networked in this particular area because there's not that many, right? There's not that many, especially as you think about public accounting and you start to get more niche in that space.
So my question for you is, as you talk about this concept of, we'll call it the turning that data into insights, right? And it sounds as well, you didn't use this word necessarily, but advising, right, based off of that information.
What I have found is that there are a number of resource managers and resource management leaders that They have the excitement, right? They want to advance.
Can we talk about some specific, just real practical examples? There's someone out there that's establishing resource management.
They're working with leaders that are perhaps – Not sure, you know, if they buy into this whole process, what are some of those pieces of data that your team would provide?
But that can that can feel quite cold until you put, I always say the so what around it.
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