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Javelin Magazine, the only source of sports tech content generated directly by the play-makers and stakeholders in the sports tech industry. Javelin is entirely original content. We provide direct access to, and one-on-one conversations with, top executives in sports technology.

Javelin Magazine, the only source of sports tech content generated directly by
the play-makers and stakeholders in the sports tech industry.
Javelin is entirely original content. We provide direct access to, and one-on-one
conversations with, top executives in sports technology.

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TITAN SPOTLIGHT FEATURE: BRIAN KOPP<br />

SportVU and Catapult and others, you're talking databases<br />

of information. Now machine learning algorithms are<br />

required to really get insight out of that volume of data.<br />

Then it becomes another one of those dynamics where<br />

introduction to a lot of data is good, but needs to be harnessed<br />

and used the right way. At the end of the day, as<br />

much as we talk about big data in sports, the data that we<br />

capture is minuscule compared to a lot of other industries.<br />

DI: Data collection and analysis has increased dramatically.<br />

What have been some of your best practices on how<br />

teams, coaches and organizations can stay on top of this?<br />

BK: To me, it all starts with organizational structure. Traditionally,<br />

you had analytics in a silo, training in a silo,<br />

coaching in a silo, and front office in a silo. They talked to<br />

each other, but they did most of their work independently.<br />

So, there were disconnects between the decisions that<br />

were made, or how information was used.<br />

The most successful organizations are starting to communicate,<br />

collaborate, and understand that what goes on<br />

when you're out on the practice field impacts what goes<br />

on in the training room, which impacts decision-making<br />

in the front office. Having more complete information for<br />

communication is key. Some of that has been accelerated<br />

by technology. I think the best practices are those that<br />

don't view those as independent jobs, but do it as a collaborative<br />

team effort.<br />

Once you've done that, the way that technology and<br />

use of data comes in becomes pretty core to how they<br />

handle that as well. You look at things holistically. That’s<br />

true at the pro level, and at the college level.<br />

DI: What does digital transformation look like to you and<br />

how are you integrating that to better understand the<br />

customer experience?<br />

BK: Good question. We've gone through a couple different<br />

evolutions as an industry.<br />

Digital transformation is taking different data that's<br />

being used in a lot of different ways, presenting it and<br />

using it in unique ways. Take augmented reality. I think the<br />

best augmented reality experiences are going to be those<br />

that integrate cool graphics with really cool and interesting<br />

insights that are based on the data you're collecting.<br />

A few years ago, the emphasis was around collecting<br />

and getting access to data. We've now evolved into more<br />

analytics, visualization, and application of that data. I think<br />

The most successful<br />

organizations are<br />

starting to communicate,<br />

collaborate, and<br />

understand that what<br />

goes on when you're<br />

out on the practice field<br />

impacts what goes on in<br />

the training room, which<br />

impacts decision-making<br />

in the front office. — Brian Kopp<br />

that's where a lot of the transformation will take place. It's<br />

matching up with the demands of the market, because<br />

people don't want to just have the passive experience.<br />

They want to be more interactive with what they're seeing<br />

across the board.<br />

DI: What companies come to mind that are driving sports<br />

markets?<br />

BK: Young start-up companies are going to get some things<br />

off the ground. One of the key players will be apparel<br />

companies - Nike, Under Armor, Adidas. They've been in<br />

the space, and they have the brand credibility. This whole<br />

technology / data area of the landscape is not something<br />

they've traditionally spent a lot of time cultivating. So rather<br />

than do it themselves, I think there will be some nimble<br />

startups that the apparel companies are going to [rely on].<br />

These will be companies that are able to connect a few<br />

of the dots within the industry.<br />

I also think major technology companies – like Intel,<br />

SAP, or Microsoft - and others who have the market clout<br />

will take some of these ideas and bring them to market<br />

in a much bigger way.<br />

6 | DIRECT–INTERFACE.COM

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