Athletics-focused Business Intelligence Software.

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Athletics-focused Business Intelligence Software. – David is a Senior Research Manager at the Deloitte Center for Technology, Media and Telecommunications, Deloitte Services LP. With over 15 years of experience in the technology industry, he is a passionate expert and educator focused on emerging business and technology topics, including the potential impact of long-term changes in our digital society.

Kevin Westcott is Vice Chairman and leads Deloitte’s US Technology, Media and Telecommunications (TMT) practice. and also serves as a global leader in telecommunications, media and entertainment (TME). Kevin has more than 30 years of experience in strategic and operational planning and implementing global business change and technology projects for large telecommunications and media companies. His industry experience includes film, television, home entertainment, broadcast, mastering, publishing, licensing and gaming. Kevin is author of the Deloitte Digital Media Trends Survey, co-author of the Deloitte Digital Media Maturity Model, and regular speaker on media consumption trends.

Athletics-focused Business Intelligence Software.

Athletics-focused Business Intelligence Software.

Technologies that measure athletes’ health and performance are changing the way they train, compete and manage their careers. But this explosion of athlete data raises new questions about how best to use it and how to do so ethically.

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From cricket to hockey, baseball to basketball, the digital transformation of sports is in full swing. Clubs, teams, leagues, broadcasters, venue operators and athletes are increasingly recognizing the value of analytics and working to realize that value. Technologies such as computer vision, machine learning, advanced wireless connectivity and wearable sensors are changing the way athletes train, compete and manage their careers. However, this increase in data raises new questions about how best to use it and how to do so ethically. To address these concerns, we expect that several professional sports leagues will adopt new official policies regarding the collection, use and commercialization of player data by the end of 2021.

If it’s conceivable to measure something in sport, it’s likely that someone, somewhere, is already measuring it. Hundreds of different measurements can now be analyzed using video analytics and wearable devices such as belts, sleeves, bands, straps, rings and smart fabrics. Over the last decade, the use of analytics in sports has slowly changed everything from how talent is identified and evaluated, to the way athletes are trained and managed, to the way games are played on the field played on the field and on the field.

The data and analytics revolution has begun to blur the lines between many different sports sectors, including esports, virtual sports, gaming, broadcasting, fantasy sports, betting and live experiences. As the use of data and analytics in sports increases, the industry will likely have to address not only questions about enabling technology, but increasingly questions about data rights management, data protection, regulations, monetization and new forms of sports experience.

Almost all major professional sports teams in the world have one or more analytical experts capable of finding any advantage that can improve a team’s chances of winning. In basketball, video recording and analysis have provided insights that have led to more three-pointers and a greater emphasis on managing players’ workloads. In baseball, intense statistical analysis of what works and what doesn’t has dramatically altered a pitcher’s control, increasing the use of the “changeup” and replacing small ball with swinging into the bullpen. Similar analyzes now show how American football teams approach fourth downs and how football teams select shots.

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The difference today is that data collection and analysis is increasingly happening in real time, not just on the field and in the gym, but around the clock. In addition, it is now possible to measure indicators both inside and outside the body; New layers of positional, biometric and biomechanical data create hundreds of new metrics that can be used in decision making.

Finally, advances in computing power, cloud technology, machine learning algorithms, and high-speed video capabilities provide increasingly powerful ways to crunch and crunch numbers. In the age of hyper-quantitative sports, the question of how to move from data collection (which is easy) to actionable insights (which is hard) and potential monetization (which is really hard) while protecting athletes’ rights is becoming increasingly pressing. Ensuring fair play and competitiveness and meeting the financial needs of leagues, players and owners.

Sports leagues and teams continue to struggle to define their new normal during the COVID-19 pandemic. Leagues of all types have changed when, where and how they play to ensure the safety and health of their players, coaches and staff. Some teams are using bubbles (single-site tournaments) to continue play without live fans or relying on limited travel and strict behavioral protocols. However, many also use new technologies to offer additional protection.

In the United States, both the National Basketball Association (NBA) and the Women’s National Basketball Association (WNBA) have offered their players the use of Oura rings to wear during tournaments in Florida to monitor body temperature, breathing and heart rate check. a way to detect health risks.

Athletics-focused Business Intelligence Software.

Similar technology has been used by golf’s PGA Tour with promising results. A player using the Whoop fitness tracker bracelet noticed a significant change in breathing rate while sleeping, prompting him to take a COVID-19 test even though he had no symptoms.

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He tested positive and withdrew from the competition to potentially protect other players. Harnesses are now widely available for tour players. The German Bundesliga as well as the US National Football League (NFL) and NBA are using devices to monitor social distancing and contact tracing.

These technologies existed before the pandemic, but COVID-19 has accelerated their deployment and given them the opportunity to prove themselves on the public stage. Athletes are becoming more comfortable with tracking technology as they value having greater insight and control over their health and performance. Meanwhile, teams and leagues have welcomed the availability of additional data that can inform health and safety decisions.

Looking forward, the increase in surveillance technology in sports caused by COVID-19 raises some thought-provoking questions. Will athletes allow their organizations to increasingly track their health and wellness data in addition to their performance data? Will they accept constant surveillance while they sleep, rest and are in the field? Could surveillance after this current pandemic help with other outbreaks of infectious diseases in the locker room? These and similar questions point to a growing need for dialogue and governance about professional sports practices related to the collection and use of athlete data.

In this article, we’ll focus on the two main types of data commonly collected from athletes.

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• Position/tracking data. Position/tracking indicators accurately measure where a player – or a ball, puck or other object – is on the field or court in three dimensions. This data can include metrics such as position, acceleration, lateral movement, speed, jump height, and other metrics. Data collection occurs using video analytics or sensors in conjunction with global satellite positioning systems and terrestrial wireless networks.

• Biometric data. Biometrics refers to any type of biological information about an individual player. These metrics can include everything from heart rate and blood sugar or oxygen levels to sweat rates and sleep patterns. Some biometric measurements, such as heart rate, have been used for decades; Through the use of digital sensors and ubiquitous, low-latency communication networks, many more measurements can now be made over larger physical areas at higher speeds.

The athlete quantification market is both diverse and fragmented, with a wide range of sensing technologies, computing power, data storage and advanced analytics capabilities. Providers of these technologies range from “sports technology” companies such as Catapult, KINEXON, Stats Perform and Zebra to technology giants such as Amazon Web Services, IBM and SAP, as well as many start-ups. The broader sports technology market has also seen strong venture capital interest in recent years, with more than 3,000 global deals and funding rounds between 2014 and the end of 2019.

Athletics-focused Business Intelligence Software.

Most, if not all, of the world’s major sports leagues utilize these technologies and techniques in different ways. In doing so, they broaden their view not only of technology, but also of how they balance the use of technology with the needs of players and coaches. For example:

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• Beginning in 2014, the NFL began using radio frequency identification (RFID) tags on players’ shoulder pads, balls and various areas of the field.

Each team receives their own raw data from this system, which they can analyze and use as they see fit.

• The National Hockey League (NHL) has been experimenting with tracking pucks and players for years. After demonstrating the latest version of these technologies in its 2020 All-Star Game, the league is beginning to fully integrate them.

• Australian Football League players have been using positioning sensors and heart rate monitors during games for several years.

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• In 2017, Major League Baseball (MLB) approved the voluntary use of whoop straps by players to track information that they can later use to better understand their performance.

This is in addition to other approved wearables that allow players to measure factors such as arm strain.

Scott Riewald is senior director of high performance projects

Athletics-focused Business Intelligence Software.

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