Essentials of MIS (13th Edition)
13th Edition
ISBN: 9780134802756
Author: Kenneth C. Laudon, Jane Laudon
Publisher: PEARSON
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Expert Solution & Answer
Chapter 2.2, Problem 3CQ1
Explanation of Solution
System illustrated in the given case study:
The system which is discussed in the given case study is “NFL’s Player Tracking System”.
- This system is developed by the Zebra Technologies, to collect detailed data on a player, team performance, sales, and fan behavior to help out in making decisions which will be in needed in every aspect of the business in NFL (National Football League).
Source of data:
NFL’s Player Tracking System gathers data from the players using nickel-sized RFID (Radio Frequency Identification) tags placed beneath the shoulder pads. This tag will track every move the player makes and transmit data to the 20 data receivers placed in the lower and upper levels of the stadium.
Impacts from the data gathered:
NFL’s Player Tracking System records speed, direction and location of the player on the field, it also collects how far they ran, jogs, spring or walked on the field...
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Why do we have to analyze exploratory data? Why do we not go straight to the modeling phase?
As you can see in the next sentences, data modelling is of the
highest importance.
How important is data modeling in the analysis procedure? Can we estimate how much information our model will require?
Chapter 2 Solutions
Essentials of MIS (13th Edition)
Ch. 2.2 - What Kinds of systems are illustrated in this case...Ch. 2.2 - Prob. 2CQ1Ch. 2.2 - Prob. 3CQ1Ch. 2.2 - Prob. 4CQ1Ch. 2.3 - Prob. 1CQ2Ch. 2.3 - Prob. 2CQ2Ch. 2.3 - Prob. 3CQ2Ch. 2 - Prob. 1IQCh. 2 - Prob. 2IQCh. 2 - Prob. 3IQ
Ch. 2 - Prob. 4IQCh. 2 - Prob. 5IQCh. 2 - Prob. 6IQCh. 2 - Prob. 1RQCh. 2 - Prob. 2RQCh. 2 - Prob. 3RQCh. 2 - Prob. 4RQCh. 2 - Prob. 5DQCh. 2 - Prob. 6DQCh. 2 - Prob. 7DQCh. 2 - Prob. 8HMPCh. 2 - Prob. 9HMPCh. 2 - Prob. 12CTPCh. 2 - Prob. 13CSQCh. 2 - Prob. 14CSQCh. 2 - Prob. 15CSQCh. 2 - Prob. 16MLMCh. 2 - Prob. 17MLM
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- Why is it necessary for us to carry out an exploratory study of the data? You may be wondering why we shouldn't simply get straight into the modeling step. Here's why.arrow_forwardWhat images come to mind when you think of email? What happens when an email is sent? Write down whatever that is currently on your thoughts. Can we put anything or someone to blame for these differences? How well do your models perform when applied to complicated data sets?arrow_forwardThe question is in the image attachedarrow_forward
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