CapH_Delta_V1

27:17 4 Konekte 17 Chapit 69 Segman

Chapit

  1. 0:02

    Hello, and welcome to another episode of Capital H. I'm Kyle Forrest, your host and Deloitte's future of HR leader. On today's episode, we are joined by Kevin Ma, a principal in our human capital practice, and John Early and Tim Gregory fro…

  2. 2:59

    look like from an operational and an employee perspective? Sure. Well, at Delta, we have a little over 100,000 employees. 90% of those are frontline employees. So they're folks that you hear when you call us or you see them in the air or at…

  3. 4:08

    The background that you have, collaborating with John and Tim, like, how did WINGS originate? Like, what was the gap in the marketplace that needed to be addressed differently? I'm going to take us back on the memory lane way back when I wa…

  4. 5:25

    by bringing more efficiency into the operations and elevating employee experience. So that's how this solution was born. We call it WINGS because we love abbreviations, acronyms. It stands for workforce intelligence, next-gen solution, and …

  5. 6:40

    So with workforce management, right, right people, right place, right time, right cost, right activities, you always start with a T minus X days, T as in the day of operation. We're always operation focused, right? Because that's the key fo…

  6. 8:59

    for different steps on the journey. And because of that, we see the efficiency gain opportunity to have a single solution that does everything in a streamlined fashion. Ergo, that's how Wings was born and we're able to apply quite a bit of …

  7. 10:00

    got a broker, filled out the RFP, sent it out there, brought them in there and says, well, this person meets most of our needs. Let's go with them. And then you go into an implementation. And sure, the things that you think you'd meet, grea…

  8. 11:24

    With what Kevin and John shared about the complexity, the challenges with prior vendors, like what were some of the specific problems at the moment when you were introduced to Wings as a solution that Delta was specifically trying to solve …

  9. 13:11

    And that's what we see here as well, too. The base core of the tool, N4, when we brought in, has 90% of functionality. When we were able to layer the service now on top of it and bring in that mobile view to employees, we solved employees' …

  10. 14:39

    and employees can get the time off they want. This operation runs smoother. It's just a win-win-win. Those data points are incredibly powerful, right? Like measurable double-digit percent impacts. So, Kevin, I now want to come back, and can…

  11. 17:02

    That's in essence what you did. Let's not look at one step at a time. Let's look at the entire thing and say, what if we did this differently, right? And John, you already shared a little bit from some data points on like what better looks …

  12. 18:53

    Getting back again to employee experience, we're looking to leverage AI to drive improved employee experiences. And that may mean enabling capabilities that give them more time to work with our customers, to engage with customers, to build …

  13. 20:00

    We use machine learning to let our employees know the percentage chance of them getting on a particular flight. So you combine those two worlds together and you create something that really feels unique and makes you feel proud to work at D…

  14. 21:23

    Could accelerate your productivity and also not feel as much of a shock to you sometimes. But, John, you got other ideas as well? No, it's perfect. You know, let's go back to Kevin's earlier comment about the flow, right? So you start from …

  15. 23:07

    Well, yeah, absolutely, right. Movers is exciting news for all of us, right, because of multi-vendor approach. We're trying to create a couple agents this year, right, working with our friends at Delta to make sure that we bring true busine…

  16. 24:38

    Imagine a world where you can then input all that data in a tool to help you build schedules that are even more in tune with what employees want off. And then when Kevin goes to bed, he says, Kevin, based off your last three years of time o…

  17. 26:55

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