52 Part One Organizations, Management, and the Networked Enterprise
All professional sports teams today collect detailed
data on player and team performance, fan behavior,
and sales, and increasingly use these data to drive decisions about every aspect of the businessâmarketing,
ticketing, player evaluation, and TV and digital media
deals. This includes the National Football League
(NFL), which is increasingly turning to data to improve
how its players and teams perform and how fans experience the game.
Since 2014 the NFL has been capturing player
movement data on the field by putting nickel-sized
radio frequency identification (RFID) tags beneath
playersâ shoulder pads to track every move they
make. The information the sensors gather is used
by NFL teams to improve their training and strategy, by commentators on live game broadcasts, and
by fans attending games or using the NFL app on
the Xbox One.
The NFLâs player tracking system is based on
the Zebra Sports Solution developed by Zebra
Technologies, a Chicago-based firm specializing in
tracking technology that includes the bar codes on
groceries and other consumer goods and radio frequency identification (RFID) technology. The Zebra
Sports Solution system records playersâ speed, direction, location on the field, how far they ran on a play,
and how long they were sprinting, jogging, or walking. The system can also determine what formation
a team was in and how playersâ speed or acceleration
affects their on-field performance. Want to know how
hard Eli Manning is throwing passes or the force with
which a ball arrives in the hands of receiver Odell
Beckham? The system knows how to do all that.
NFL players have RFID chips in their left and
right shoulder pads that transmit data to 20 radio
receivers strategically located in the lower and
upper levels of stadiums to collect data about how
each player moves, using metrics such as velocity,
speed in miles per hour, and distance traveled. From
there the data are transmitted to an on-site server
computer, where Zebraâs software matches an RFID
tag to the correct player or official. The football also
has a sensor transmitting location data. The data are
generated in real-time as the game is being played.
Each sensor transmits its location about 25 times
per player.
It takes just two seconds for data to be received
by the motion sensors, analyzed, and pushed out
to remote cloud computers run by Amazon Web
Services for the NFL. From the NFL cloud computers, the data are shared with fans, broadcasters,
and NFL teams. The data captured by the NFL are
displayed to fans using the NFL Next Gen Stats website, NFL social media channels, and the NFL app
on Windows 10 and the Xbox One. The data are also
transmitted to the giant display screens in the arena
to show fans during the game.
The data have multiple uses. NFL teams use them
to evaluate player and team performance and to
analyze tactics, such as whether it might be better to
press forward or to punt in a particular fourth-down
situation. Data transmitted to broadcasters, to stadium screens, to Next Gen Stats, and to the Next Gen
Stats feature of Microsoftâs Xbox One NFL app help
create a deeper fan experience that gets fans more
involved in the game.
Some of the statistics fans can now see on Next
Gen Stats include Fastest Ball Carriers, Longest
Tackles, Longest Plays, Passing Leaders, Rushing
Leaders, and Receiving Leaders. Next Gen Stats also
features charts for individual players and videos
that explain the differences and similarities between players, teams, and games based on the data.
While the data may be entertaining for fans, they
could prove strategic for the teams. Data markers for
each play are recorded, including type of offense,
type of defense, whether there was a huddle, all
movement during the play, and the yard line where
the ball was stopped. The NFL runs custom-created
analytics to deliver visualizations of the data to each
team within 24 hours of the game, via a custom-built
web portal. The system displays charts and graphs as
well as tabular data to let teams have more insight.
Each NFL team may also hire its own data analyst
to wring even more value from the data. The data
are giving NFL fans, teams, coaches, and players a
deeper look into the game they love.
Sources: Jason Hiner, âHow the NFL and Amazon Unleashed âNext
Gen Statsâ to Grok Football Games,â TechRepublic, February 2, 2018;
Teena Maddox, âSuper Bowl 52: How the NFL and US Bank Stadium
Are Ready to Make Digital History,â TechRepublic, February 1, 2018;
Brian McDonough, âHow the NFLâs Data Operation Tracks Every
Move on the Field,â Information Management, December 7, 2016;
www.zebra.com, accessed March 15, 2017; and Mark J. Burns,
âZebra Technologies, NFL Revamp Partnership For Third Season,â
SportTechie, September 6, 2016.
INTERACTIVE SESSION ORGANIZATIONS
Data Changes How NFL Teams Play the Game and How Fans See It
Chapter 2 Global E-business and Collaboration 53
- How do the data about teams and players captured by the NFL help NFL football teams and the
NFL itself make better decisions? Give examples
of two decisions that were improved by the systems described in this case. - How did using data help the NFL and its teams
improve the way they run their business?
CASE STUDY QUESTIONS - What kinds of systems are illustrated in this case
study? Where do they obtain their data? What
do they do with the data? Describe some of the
inputs and outputs of these systems. - What business functions do these systems support?
Explain your answer.
Sales and
Marketing
FUNCTIONAL
AREAS
Manufacturing
and Production
Finance and
Accounting
Human
Resources
Knowledge
Management
Systems
Processes
Processes
Enterprise
Systems
Customers,
Distributors
Suppliers,
Business Partners
Processes
Supply
Chain
Management
Systems
Customer
Relationship
Management
Systems
FIGURE 2.6 ENTERPRISE APPLICATION ARCHITECTURE
Enterprise applications automate processes that span multiple business functions and
organizational levels and may extend outside the organization.
performance of the organization as a whole. Figure 2.6 shows that the architecture for these enterprise applications encompasses processes spanning the
entire organization and, in some cases, extending beyond the organization to
customers, suppliers, and other key business partners.
Enterprise Systems Firms use enterprise systems, also known as enterprise resource planning (ERP) systems, to integrate business processes in manufacturing and production, finance and accounting, sales and marketing, and
human resources into a single software system. Information that was previously
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