Latest / Bloomberg Intelligence / Talend CEO Mike Tuchen On The Company's $94 Million IPO
Transcript
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- 1:02Speaker 1: That's a Bloomberg business splash. You're listening to taking Stock
- 1:07Speaker 1: with Kathleen pim Fox on Bloomberg Radio. Welcome back to
- 1:13Speaker 1: Taking Stock. Matt Miller here with pim Fox. We are
- 1:16Speaker 1: joined by Mike took In, the CEO of Talent, uh
- 1:18Speaker 1: technology company that helps clients compile and analyze data from
- 1:23Speaker 1: different sources. That I'm going to get an explanation on
- 1:26Speaker 1: the most interesting thing about the company right now in
- 1:28Speaker 1: this moment is that they just price an ip O. Mike,
- 1:31Speaker 1: you just price an IPO a dollar above the range.
- 1:33Speaker 1: Congratulations on that eighteen dollars a share and it's trading
- 1:36Speaker 1: up today on the first day of trading. Uh. So,
- 1:39Speaker 1: everything went well with this I P O and it's
- 1:41Speaker 1: right now. It's kind of spent. Procedure is a difficult time.
- 1:45Speaker 1: How did they go for you? Matt? It was beyond
- 1:47Speaker 1: the numbers? Obviously, it was a terrific day for us.
- 1:51Speaker 1: We felt like the market was very receptive to the
- 1:53Speaker 1: offer that we had, and our bankers told us it
- 1:56Speaker 1: was one of the most oversubscribed offerings they've seen in
- 1:58Speaker 1: four and a half years. So what ex act leaded?
- 2:01Speaker 1: When I say that you help clients compile and analyze
- 2:03Speaker 1: data from different sources, I mean we do that to
- 2:07Speaker 1: a lot A lot of companies do that. What exactly
- 2:09Speaker 1: do you do a talent? We help companies become data
- 2:12Speaker 1: driven because we're in a world where the better companies
- 2:15Speaker 1: are able to use their data, the more effectively they
- 2:17Speaker 1: can compete. In every industry, there's companies that are completely
- 2:21Speaker 1: changing the game based on using data, and as a result,
- 2:24Speaker 1: our customers can use their data more effectively to drive
- 2:28Speaker 1: their An example would be so, for example, every company
- 2:32Speaker 1: in the world needs to make better decisions on sales
- 2:35Speaker 1: and marketing, which sales, which marketing um uh messages, in
- 2:41Speaker 1: which marketing campaigns are driving, which sales opportunities to drive,
- 2:45Speaker 1: which customers, which customers are therefore more profitable, and so
- 2:48Speaker 1: all that kind of sales and marketing analytics are things
- 2:51Speaker 1: that we can help them with. Hey, Mike, I wonder
- 2:53Speaker 1: if you could just help people a little bit about
- 2:55Speaker 1: your background, because this is number two for you to
- 2:58Speaker 1: a certain extent. I'm sure he's done a lot of
- 3:00Speaker 1: other things, but I remember rapp at seven and I
- 3:02Speaker 1: wondering if you could tell us about that company and
- 3:04Speaker 1: how you got connected to this world of technology. You bad. So.
- 3:08Speaker 1: I actually started out in my career as an engineer.
- 3:12Speaker 1: I was a computer designer UM with a master's electrical engineering,
- 3:16Speaker 1: designing computer chips. So then I got my lobotomy, went
- 3:19Speaker 1: to b school and UH worked for then um eight
- 3:23Speaker 1: half years at Microsoft in two stints. UM my first
- 3:26Speaker 1: CEO opportunity, as he said, was rappid seven. Had the
- 3:29Speaker 1: privilege to work with a terrific group of folks in
- 3:31Speaker 1: Boston and took them from five million to fifty million
- 3:33Speaker 1: and four and a half years. And then three years
- 3:36Speaker 1: ago had the opportunity here to join Talent. I jumped
- 3:38Speaker 1: at that and excited to be here. Today. Customers include
- 3:42Speaker 1: Air France, City Bank as well as General Electric. And
- 3:46Speaker 1: this is all about real time analytics or is it
- 3:49Speaker 1: about research? Um, it's about real time analytics as well
- 3:54Speaker 1: as really any way that companies want to leverage their data.
- 3:57Speaker 1: It might be in real time or it might not,
- 3:58Speaker 1: but every company has day it all over the place.
- 4:01Speaker 1: It might be in the cloud, it might be in
- 4:03Speaker 1: different applications, and they need to bring it together, clean
- 4:06Speaker 1: it up, make sense of it before they can start
- 4:08Speaker 1: driving their business from it. That that's the part of
- 4:11Speaker 1: the business that we help them with. So I'm just
- 4:12Speaker 1: trying to understand what kind of solution you have. Do
- 4:15Speaker 1: you come with a platform that Talent already has. Do
- 4:19Speaker 1: you have Taylor ready solutions for the companies with whom
- 4:22Speaker 1: you work, Um, how exactly do you get the data?
- 4:26Speaker 1: Do you only use data that they have? I mean,
- 4:28Speaker 1: I'm trying to get a little more into what Talent doest.
- 4:31Speaker 1: So we use all of their companies existing data. We
- 4:34Speaker 1: don't bring our own data. And it's a platform that
- 4:37Speaker 1: they can use to develop solutions. We don't have customized solutions.
- 4:41Speaker 1: So what it is is a platform that allows you
- 4:43Speaker 1: to pull data from all the different places or take
- 4:46Speaker 1: a real time for you just pin was just mentioning
- 4:48Speaker 1: and clean it up. Data is always has mistakes and inconsistencies,
- 4:53Speaker 1: and you need to be able to blend data from
- 4:55Speaker 1: a multiple different places. I can give a couple of
- 4:57Speaker 1: examples if that will help. But so some g genius
- 5:00Speaker 1: came up with this awesome platform and then you guys
- 5:03Speaker 1: have helped him bring that to market. Basically, we had
- 5:06Speaker 1: a founding team that had a unique insight into how
- 5:09Speaker 1: the market was evolving, and um, they thought this the
- 5:12Speaker 1: approach that we had technically was significantly better than the
- 5:15Speaker 1: market and they've proven to be right. Go ahead and
- 5:18Speaker 1: give examples, but the context, I'm just going to bring
- 5:20Speaker 1: up his Business Objects because the team that started Talent
- 5:23Speaker 1: are behind Business Objects, which was sold then to S
- 5:27Speaker 1: S A P. Yes, we have a couple of our
- 5:30Speaker 1: exact teams from Business Objects and we had our chairman
- 5:33Speaker 1: UM was the founder and CEO of Business Objects for
- 5:35Speaker 1: many years, Bernhard the Toad, and so yes that he's
- 5:38Speaker 1: been super super helpful along the way with the lessons
- 5:41Speaker 1: that he's learned from building Business Objects, and so you know,
- 5:44Speaker 1: I'll take give an example UM. Right now, every one
- 5:48Speaker 1: of you has had alerts UM phone calls from a
- 5:51Speaker 1: credit card company saying this transaction might be fraudulent. Well,
- 5:56Speaker 1: how does that happen? What they need to do is
- 5:58Speaker 1: look at that transaction and all the pull up all
- 6:01Speaker 1: the data from that and compare that to other transactions
- 6:04Speaker 1: they know are fraudulent. That process of pulling data together
- 6:08Speaker 1: and UM screening it for potential fraud is something that
- 6:12Speaker 1: we can help them with. I get these phone calls,
- 6:14Speaker 1: by the way, constantly, I feel like I must just
- 6:16Speaker 1: make typically fraudulent purchases a lot, literally once a week.
- 6:21Speaker 1: I'm wow, my credit card isn't working because they think
- 6:23Speaker 1: I'm someone who's stolen my credit card. Uh all right,
- 6:27Speaker 1: let me ask about the growth prospects because obviously, if
- 6:29Speaker 1: people are thinking about an I p O the market,
- 6:32Speaker 1: the stock, they might want to buy it. Um why
- 6:34Speaker 1: should they put what's the argument for somebody getting in
- 6:37Speaker 1: after the I p O, after the pop? What kind
- 6:40Speaker 1: of growth prospects are you looking at? Well, what what
- 6:42Speaker 1: talent offers is a combination of strong and accelerating growth
- 6:47Speaker 1: UM with at the same time, we're already cash flow positive,
- 6:51Speaker 1: and that's really unique relative to the companies that we've
- 6:54Speaker 1: seen over the last four or five years. We've been
- 6:56Speaker 1: growing our subscription business around per year UM for the
- 7:00Speaker 1: five quarters. And uh as far as the proceeds, I
- 7:04Speaker 1: always like to read that lion the Bloomberg story. You
- 7:06Speaker 1: raised almost a hundred million dollars. What are you gonna
- 7:09Speaker 1: do with it? You invest? This is part of an
- 7:10Speaker 1: exit strategy? What's what's what's the money for? Well, since
- 7:13Speaker 1: we're already cash flow positive, we don't need the money
- 7:16Speaker 1: to run the company, and so that gives us an
- 7:18Speaker 1: opportunity to look for acquisitions. We can look for small
- 7:21Speaker 1: tuck ins that allow us to accelerate into the markets
- 7:24Speaker 1: that are close to what we're doing, or speed up
- 7:27Speaker 1: our ability to UM build deeper solutions. I should have
- 7:30Speaker 1: started with that question. Great answer, all right, Mike, thanks
- 7:32Speaker 1: so much for joining us. Real pleasure to talking to Mike.
- 7:35Speaker 1: Talent CEO Mike Tookin, sorry, CEO of Talent, on the
- 7:39Speaker 1: company's I p O and the outlook for acquisitions. Taking stock.
- 7:46Speaker 1: Coming up on taking stock will take stock of the
- 7:49Speaker 1: Bank of Japan and what it isn't doing in order
- 7:53Speaker 1: to spur economic growth in the country. The latest monetary
- 7:57Speaker 1: easing fell short of investor expectations.