Neil Chatwood, Omnivex

Sixteen:Nine - All Digital Signage, Some Snark - Ein Podcast von Sixteen:Nine - Mittwochs

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The 16:9 PODCAST IS SPONSORED BY SCREENFEED – DIGITAL SIGNAGE CONTENT Using data is pretty much integral to just about any ambitious and involved digital signage network being spun up these days, but for a lot of vendors and their customers, it's still a relatively new concept and approach. That's definitely not the case for the Toronto-area CMS software firm Omnivex, which has been around for more than 30 years and has always made data-driven communications central to what it does. More than 20 years ago, the core Omnivex solution included a module called DataPipe. I know, because I was using the thing way back then for a digital ad network I launched ... probably 10 years too early, but that's a story for another time. While a lot of its competitors have developed and marketed platforms that are pretty and loaded with bling, Omnivex has resolutely stuck to its technology guns with software that's quite involved and very powerful. The net result is Omnivex gets involved in a lot of the more complicated jobs in which real-time data, and the context it provides, shapes what shows up on screens. Airports, for example, are a very active vertical. I had a long, detailed chat with Neil Chatwood, a transplanted Brit who runs the global transport file for Omnivex. We could have gone on for hours, as he has a lot of insights about data, security, and programming content for large, very involved environments. Subscribe from wherever you pick up new podcasts. TRANSCRIPT Neil, thank you for joining me. For those people who don't know Omnivex, can you just give a quick rundown on the company?  Neil Chatwood: Yeah, for sure. So, Omnivex was established back in the dark ages of digital signage, 1991. It’s a privately owned organization, just outside of Toronto, Ontario and Canada. Oh, come on. It's in Toronto. Like, Toronto goes on forever.  Neil Chatwood: Yeah, it's right. Pretty much right on the border. Well, it's on the subway line now. They've expanded the subway, so that finally happened.  Yeah, it's not like you see countryside on the other side of the parking lot though. Neil Chatwood: Not anymore. In the last 10 years, there's been a Vaughan skyline, as depressing as that may be. But yeah, I've been around a long time in a private family owned organization and it's really grown off the back of our focus on leveraging real time data, integrating with basically any system we could possibly think of. And that pedigree has kept us in the business for over 30 years now.  Yeah, I have a history in a network I started more than 20 years ago using Omnivex. So I was familiar with Omnivex products and datapipe and everything. So we were talking before we turned on the recording. I found it amusing that a lot of the software side of the industry has awakened to the idea of data integration and data handling for the last four or five years when it's something you were doing like 25 years ago.  Neil Chatwood: Yeah. Back in around 2009-2010 when a lot of the industry was yelling Content is King. Right. Don't say that.  Neil Chatwood: I know. You see. I do. Yeah, it's a classic. And our ownership at the time, you know, they like to have fun and they took that and changed it into Context as King and we've really kind of run with that since inception. But I joined the organization in 2010 and data and complexity is where we've always really hung our hat. We're a software vendor but the majority of our revenue comes from licensed sales. But we really do find ourselves in the trenches with our partners and our clients getting in there and providing pseudo consultancy on what data do you have in house?  Like, how has it been stored? What methods can we use? And figuring out the solution in parallel with all of the stakeholders, even though at the face of it we're just slinging CMS licenses. So that's our heritage and when I'm when I start talking to someone who's interested in looking at the market or you get a lead or you're talking to so

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