Ep. 216: Robert Cooke - Streamlining Data Management: An Inside Look at Fintech Solutions

Today we're excited to have Robert Cooke, the founder and Principal Architect of 3Forge, a New York-based fintech company that focuses on solving complex data problems in the accounting world. Robert joins Count Me In to share his story about his lifelong passion for computers and his journey to founding 3Forge. He breaks down the three buckets of data that the company focuses on: real-time streaming of data, asking computers about data, and data entry. Robert emphasizes the importance of having the right technology in place to analyze data properly and shares his experience working with various organizations to solve their data problems. Join us as we explore the fascinating world of fintech and data.

Episode Transcript:

Adam: Welcome to Count Me In. The podcast, where we examine all things affecting the accounting and finance world. I'm Adam Larson, and I'm excited to introduce our speaker today, Robert Cooke. Robert is the founder and principal architect at 3Forge, a New York-based provider of data visualization and visualization technology. Today, Robert and I discuss his passion on the interrelationship between computers, people, and data. And describes the future trends he expects to see in data management.

Businesses of all sizes can gain value through using data to optimize and streamline their business. And we discuss how the technology chosen plays a role in driving a competitive advantage. Let's listen in to learn more.

Well, Robert, I want to thank you so much for coming on the podcast today. We're really excited to talk about you and your organization, and fintech. And before we go there, I just wanted to start with maybe you could tell a little bit about your story and how you got to where you are?

Robert: Okay, yes, great, Adam, thanks for having me on today. So my story is I'm a lover of all things computers. I've been into computers my whole life, ever since when I was a little kid. I went through the natural learning curve, which is, originally, I wanted to build video games, and this is in the early '80s. So I was focusing on what does it mean to write efficient code and things along those lines. And then later on, we had this club, and in the club people could buy sodas and buy candy bars, and things like that and it was like a Boy Scouts equivalent. But it was all being paper-driven in terms of the accounting and everything. And I felt, "Well, this is a great opportunity for computers."

And that's when I realized, wow, computers, as a kid, I always saw video games, and I realized these really are business machines, they can really help streamline things. And, so, our little club was actually, probably, one of the first grade school clubs to, actually, be managed through electric accounting.

Now, I'm embarrassed by the system I built at the time it was very hardcoded for sodas and candy bars, but it still got me started on the concept. So I've really spent my whole life thinking about, abstractly, what it means to connect humans to data. And that can take you in a lot of places.

And then I ended up working in fintech, it was Bear Stearns, it was in 2002. And I was head of infrastructure at the dark pool Liquidnet. My work product has been at many of the tier-one banks, but all the while it's been this, I would say my story has been one of interest in computers and interested in how humans and data interact.

Adam: And that's a huge part of, especially, in the accounting world. Where you have to understand where your data is and what your data is doing. To be able to visualize it properly, to give the right reports to your CEO and all of those items. And, so, we all understand how important data is. What does your organization, what does 3Forge do in terms of data? How do they look at data?

Robert: Well, I look at data, I've actually broken the problem down into three buckets. I think two of which are very important for accounting. But to be exhaustive, I'll go through all three of them. The first bucket is what I would call real-time streaming of data. And that is not necessarily as important for this conversation, but it is something that we focus on as well. So the idea is, as data is taking place somewhere you want to be able to have that streaming in, and as a human be able to read that in real-time.

An example I could give is, if you think of, at this point, cars are pretty advanced. That dashboard in your car, that's real-time streaming information coming to you, telling you your speed limit. You don't have to ask the car, "What's my speed limit?" It's just always showing it to you, that's real-time. I think very cool things could be done in accounting with that, as you start to move into workflows, but I'll digress on that.

The second thing is what I would call asking your computer about data. And, so, a very simple analogy would be you simply go on to Google and you type in, "Who is Adam Larson?" And then it comes up and gives you an answer. That would be you, a human, invoking a question, asking the computer and the computer comes back, that's the second thing.

And then the third thing is data entry, which is pretty much what it sounds like. The ability to fill out a form, hit Submit and send that. And then that goes into the computer. Maybe it goes through some validity, maybe it goes through some workflow process, with the ability to enter data. So, to recap, we break it into three buckets–

1. Data moving in real-time.
2. The ability to ask questions about data.
3. And the ability to enter data.

And I think one of the cool things is, and this is like decades to come up with this answer. It almost seems embarrassing because it seems so simple, at the end of the day. But once you've thought about it in those three buckets, you can really start to tackle just about any problem that comes your way. And, frankly, accounting has some of the most deceptively, challenging problems there is.

I mean, some of the systems that I've seen built on our platform are way beyond my understanding, to be quite frank. You know what I mean? But there's a lot that goes into it.

Adam: Yes, there is a lot that goes into it. So that just goes to show it's really important to have the right technology in place, at your organization. To make sure that you can analyze your data properly. What have you seen as you've worked with many organizations. As they come to you with different problems and having to work through their data issues?

Robert: Well, it's interesting because it goes without saying that Excel is the predominant piece of software being used. And Excel, I'm sure if I look, I've got five monitors here, I'm sure if I look around enough I'll find Excel up on one of them for something.

And, I think, Excel is an incredibly powerful tool for certain activities, especially, if you're trying to mock things up quickly. You're trying to aggregate some data, maybe determine interest rates, something like that it's very good for that.

But I do think it has a tendency to be overused, to the point of abused, and I think a lot of people would agree. But a...