Jul 23, 2026 · 43 min · 14 segments
**Welcome back to *My Career in Data* – a DATAVERSITY Talks podcast where we sit down with professionals to discuss how they have built their careers around data.** In this episode, we speak with…
Zach WahlGuest
Lulit TesfayeGuest
Shannon KempHost
Joe HilgerGuest
So in terms of responses, so Lily, how do you work with data in your day-to-day job?

And I'm going to take a little bit of a step back and define data a little bit, because I know it means there are many different things to many people.

And I think this is in our journey also, as Zach called out earlier, we started as a knowledge management company.

And a big part of that was that traditionally it's considered a tacit knowledge capture that that piece of these the people expertise connecting that piece shifting into information management as a big part of that.

How do you translate that into these applications and machines? And over the especially over the last decade, To answer the organization's questions of finding and connecting them to their information, a big part of that lives in what traditionally is structured data.

So when we talk about data or like we collectively call it knowledge assets, we what we are doing on a day to day basis is connecting that those assets, the knowledge, the information and the data within them, but also not just for humans.

So the way we work with quote unquote data now is in the form of treating it as a knowledge asset, just like everything that you have within your organization and that you can describe.

And then when you get into implementation, there's the plumbing, there's the engineering, there's the modeling that my team works on that I guide and also architecture as well.

So that's a core part of how we interact with and work with data and knowledge assets.

Yeah, is there data or is there, how are you staying on top of that, of what's coming and what's hot and what's not?

Yeah, well, a lot of it is also partially where we first met you and I, we attend your conferences, we are embedded on a lot of the industry events, we speak at conferences, as well as a big part of this.

So we have a lot of team members, I know you've met that attended these industry events, industry conferences, we host a conference ourselves on Semantic Layer Symposium.

So we are out there, but also because we work across many different industries, we are able to cross pollinate lessons learned and case studies and the bruises and all of that to bear for our organizations.

The number one way that we get new clients and win new work is that they reach out to us.

So in terms of responses, so Lily, how do you work with data in your day-to-day job?

And I'm going to take a little bit of a step back and define data a little bit, because I know it means there are many different things to many people.

And I think this is in our journey also, as Zach called out earlier, we started as a knowledge management company.

And a big part of that was that traditionally it's considered a tacit knowledge capture that that piece of these the people expertise connecting that piece shifting into information management as a big part of that.

How do you translate that into these applications and machines? And over the especially over the last decade, To answer the organization's questions of finding and connecting them to their information, a big part of that lives in what traditionally is structured data.

So when we talk about data or like we collectively call it knowledge assets, we what we are doing on a day to day basis is connecting that those assets, the knowledge, the information and the data within them, but also not just for humans.

So the way we work with quote unquote data now is in the form of treating it as a knowledge asset, just like everything that you have within your organization and that you can describe.

And then when you get into implementation, there's the plumbing, there's the engineering, there's the modeling that my team works on that I guide and also architecture as well.

So that's a core part of how we interact with and work with data and knowledge assets.

Yeah, is there data or is there, how are you staying on top of that, of what's coming and what's hot and what's not?

Yeah, well, a lot of it is also partially where we first met you and I, we attend your conferences, we are embedded on a lot of the industry events, we speak at conferences, as well as a big part of this.

So we have a lot of team members, I know you've met that attended these industry events, industry conferences, we host a conference ourselves on Semantic Layer Symposium.

So we are out there, but also because we work across many different industries, we are able to cross pollinate lessons learned and case studies and the bruises and all of that to bear for our organizations.

The number one way that we get new clients and win new work is that they reach out to us.
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