CHAPTER ONE THE NATURE OF ANALYTICAL COMPETITION USING ANALYTICS TO BUILD A DISTINCTIVE CAPABILITY Flashcards

1
Q

What inspired Reed Hastings to start Netflix?

A

A $40 late fee from Blockbuster after renting Apollo 13

Hastings envisioned a subscription model similar to health clubs.

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2
Q

What was Netflix’s revenue in 1999?

A

$5 million

This revenue grew to $8.3 billion by 2016.

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3
Q

How many subscribers did Netflix have by 2016?

A

Over 93 million in 190 countries

Netflix streams a wide range of content, including movies and original programming.

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4
Q

What is Cinematch?

A

Netflix’s movie-recommendation engine

It uses algorithms to personalize movie recommendations for each user.

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5
Q

What innovative approach did Netflix use to improve Cinematch?

A

A $1 million prize for quantitative analysts to enhance the algorithm

This crowdsourcing method helped improve Netflix’s data analysis capabilities.

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6
Q

What is the significance of ‘the long tail’ in Netflix’s strategy?

A

It refers to recommending less popular movies that fit customer preferences

This approach allows Netflix to cater to niche audiences.

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7
Q

What was the first original series produced by Netflix?

A

House of Cards

The show starred Kevin Spacey and had a significant budget of at least $200 million.

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8
Q

What analytics techniques did Netflix use to predict the success of House of Cards?

A

Attribute analysis

They identified up to seventy thousand attributes related to viewer preferences.

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9
Q

What is the batting average of Netflix for renewing original shows after their first seasons?

A

Well over .900

This statistic indicates a high success rate for their original programming.

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10
Q

What type of culture does Netflix promote in analytics?

A

A strong culture of analytics and a ‘test and learn’ approach

They conduct numerous variations of consumer experience experiments.

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11
Q

What is the role of analytics in modern competition?

A

To drive decisions and actions based on extensive data analysis

Analytics can lead to competitive advantages in various business processes.

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12
Q

Define ‘analytical competitor’.

A

An organization that uses analytics extensively and systematically to outthink and outexecute the competition

These organizations leverage data for strategic decision-making.

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13
Q

What are the four types of analytics mentioned?

A
  • Descriptive analytics
  • Predictive analytics
  • Prescriptive analytics
  • Autonomous analytics

Each type serves different purposes in business analysis.

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14
Q

What is the primary focus of prescriptive analytics?

A

To specify optimal behaviors and actions

This involves using techniques like optimization and machine learning.

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15
Q

What is the importance of data management in analytics?

A

It is essential for acquiring, transforming, managing, analyzing, and acting on data

Good data management capabilities enhance analytical effectiveness.

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16
Q

What does ‘Moneyball for movies’ refer to?

A

Using data analytics to make decisions in the film industry

This concept highlights the analytical approach taken by Netflix.

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17
Q

What is an example of a company that successfully applies analytics to a non-analytical industry?

A

CEMEX in the cement industry

CEMEX optimizes supply chains and delivery times through analytics.

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18
Q

Fill in the blank: Netflix uses data to make decisions that moguls make by _______.

A

gut

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19
Q

True or False: Netflix’s analytics approach is limited only to marketing.

A

False

Analytics permeate all aspects of Netflix’s operations, including marketing and customer service.

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20
Q

What is a distinctive capability that CEMEX has applied analytics to?

A

Optimized supply chains and delivery times.

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21
Q

Which industries are more amenable to competing on analytics?

A
  • Financial services
  • Travel and transportation
  • Gaming
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22
Q

What is an example of a traditionally intuitive business that is now using analytics?

A

The wine business.

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23
Q

What are some sources that have created more and better data than ever before?

A
  • ERP systems
  • POS systems
  • Mobile devices
  • Websites and e-commerce
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24
Q

What was the purpose of decision support systems (DSS) introduced in the late 1960s?

A

To analyze data and support decision making.

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25
Q

Who were the pioneers of decision support systems?

A
  • Peter Keen
  • Charles Stabell
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26
Q

What term refers to data that is too big, volatile, and unstructured for traditional technologies?

A

Big data.

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27
Q

What significant trend has been observed in organizations regarding analytics?

A

Most large organizations have some sort of analytical applications in place.

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28
Q

What is a common limitation of analytical tools in organizations?

A

They are often managed at the departmental level and are invisible to senior executives.

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29
Q

According to the text, what is one benefit of decisions based on analytics?

A

They are more likely to be correct than those based on intuition.

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30
Q

Fill in the blank: The best firms are using analytical techniques to explore ______ decisions.

A

merger and acquisition

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31
Q

What are some examples of data that will continue to grow in the future?

A
  • RFID sensor data
  • Sensor data from industrial machines
  • User behavior data from mobile phones
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32
Q

What is the significance of analytical software in competitive organizations?

A

It allows for extensive quantitative analysis on large data sets.

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33
Q

What does the term ‘analytical competition’ imply?

A

An arms race requiring continual development of new measures, algorithms, and decision-making approaches.

34
Q

What is a key prerequisite for building an effective analytical competitor?

A

Having a moderate amount and quality of data about the business domain.

35
Q

What is a pivotal factor for the progress of an organization in analytics?

A

Sponsorship from executives.

36
Q

True or False: Intuitive decision making is only appropriate under certain circumstances.

37
Q

What is a potential risk of relying on outdated analytical predictions?

A

They may no longer apply under changing economic conditions.

38
Q

What do firms like Netflix and Capital One have that supports their analytical competition?

A

CEO-level sponsorship and passion for analytics.

39
Q

What is the role of human factors in developing analytical capabilities?

A

A committed manager is essential for further development of analytics.

40
Q

What is the pivotal factor in how fast and well an organization proceeds along the analytical path?

A

Sponsorship

Executive sponsorship is crucial for the success of analytical initiatives.

41
Q

Which companies are mentioned as having CEO-level sponsorship for analytical competition?

A
  • Netflix
  • Caesars
  • Capital One
  • UPS
42
Q

What is the contrasting path organizations without passionate executive sponsorship must take?

A

Prove-it path

This path is slower and requires demonstrating the value of analytics.

43
Q

Which professional sport is noted for its extensive use of quantitative and statistical analysis?

44
Q

What book by Michael Lewis popularized the analytical orientation in baseball?

45
Q

Who was the general manager of the Oakland A’s that shifted to an analytical approach?

A

Billy Beane

46
Q

What traditional baseball statistic did the Oakland A’s move away from in favor of new metrics?

A

Runs Batted In (RBIs)

47
Q

What two new metrics did the Oakland A’s focus on for player performance?

A
  • On-base percentage
  • On-base plus slugging percentage
48
Q

Who was the first Oakland GM to adopt a statistical approach in the early 1980s?

A

Sandy Alderson

49
Q

What was a key reason for the Boston Red Sox to adopt the moneyball approach?

A

A business need to win the World Series after an 86-year drought

50
Q

Who were the new principal owners of the Boston Red Sox in 2002?

A
  • John Henry
  • Tom Werner
51
Q

What position did Theo Epstein hold when he was hired by the Red Sox?

A

General Manager

52
Q

What analytical talent did the Red Sox hire as a consultant?

A

Bill James

53
Q

What significant event in 2004 did the Red Sox achieve after implementing analytics?

A

They won the World Series

54
Q

What was the result of the seventh game in the ALCS for the Red Sox?

A

They lost to the New York Yankees

55
Q

What did Nate Silver’s data journalism site find about teams with analysts?

A

They outperformed their expected winning percentage by 44 percentage points

56
Q

Which team ended a 108-year World Series championship drought in 2016?

A

Chicago Cubs

57
Q

What document did the Cubs create to detail their philosophy and approach?

A

The Cubs Way

58
Q

Who led the Cubs’ R&D group that analyzed various aspects of the game?

A

Chris Moore

59
Q

What is the salary cap situation in professional baseball regarding front office talent?

A

There is no salary cap

60
Q

What advanced analytics approach did the New England Patriots utilize?

A

Data and analytical models for player selection and game decisions

61
Q

What nontraditional factors do the Patriots consider when selecting players?

A
  • Intelligence
  • Willingness to subsume personal ego
62
Q

What is one way the Patriots analyze on-field decisions?

A

Using statistics to decide whether to punt or go for it on fourth down

63
Q

Which basketball team hired a quantitatively oriented executive as GM in 2007?

A

Houston Rockets

64
Q

What new measure in basketball assesses a player’s value while on versus off the court?

A

Roland Rating

65
Q

Which European soccer team uses predictive models to prevent player injuries?

66
Q

What system does AC Milan use to analyze data for training and preparation?

A

Match Insights

67
Q

What has dramatically changed in Premier League clubs regarding analytics?

A

Every club now employs a team of video and data analysts

68
Q

What challenge does Oliver Bierhoff associate with the fluid game of soccer?

A

The large amount of data points generated in a short time

69
Q

What system is used alongside cameras to analyze data in professional sports?

A

Match Insights

Match Insights helps coaches and players assess opponents’ capabilities and devise strategies.

70
Q

What is a key lesson from professional sports analytics regarding human resources?

A

Focus on choosing, appropriately compensating, and keeping the best players

This practice is growing in the business domain but is not yet widespread.

71
Q

Name a company that has adopted an analytical approach to human resource management.

A

Google

Google exemplifies a firm using analytics in talent management.

72
Q

What does analytical competition in sports illustrate about data?

A

Analytics arises when sufficient data is present to analyze

New business areas with large data availability are likely to see analytical competition.

73
Q

What do analytical innovators in professional sports often create?

A

New measures

Businesspeople are encouraged to create new measures as well.

74
Q

How does technology impact opportunities in sports and business?

A

It creates entirely new types of data

This new data can lead to additional competitive advantages.

75
Q

Who mentioned that all teams now use available data for personnel decisions?

A

Mark Cuban

Mark Cuban is the owner of the Dallas Mavericks and emphasizes the efficiency of the market due to data use.

76
Q

Who was an early adopter of video data in the NBA?

A

Daryl Morey

Daryl Morey was associated with the Houston Rockets.

77
Q

What advantage do analytical teams have during actual games?

A

They make informed, data-driven, real-time decisions

This capability is paralleled by analytical businesses adapting to market changes.

78
Q

What influences a team’s decision to embrace analytical competition?

A

Leadership decisions and backgrounds

The decision to adopt analytics is often linked to the leader’s experiences.

79
Q

What is a common outcome for sports teams that embrace analytical competition?

A

They generally do well

While they may not win every year, analytical competitors have found success across various sports.

80
Q

What must teams or firms do to maintain their competitive edge in analytical competition?

A

Continue innovating and building analytical capabilities

No team or firm can afford to become complacent.