CHAPTER TWO WHAT MAKES AN ANALYTICAL COMPETITOR? DEFINING THE COMMON KEY ATTRIBUTES OF SUCH COMPANIES Flashcards

1
Q

What is an analytical competitor?

A

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

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2
Q

List the four common key characteristics of analytically sophisticated companies.

A
  • Analytics supports a strategic, distinctive capability
  • Management of analytics is enterprise-wide
  • Senior management is committed to the use of analytics
  • Significant strategic bet on analytics-based competition
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3
Q

What does the DELTA model stand for?

A
  • Data
  • Enterprise
  • Leadership
  • Targets
  • Analysts
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4
Q

What is a key requirement for analytical companies regarding data?

A

Integrated, high-quality, and easily accessible data about their businesses and markets.

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5
Q

True or False: Highly analytical firms manage their analytics resources in disconnected silos.

A

False.

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6
Q

What role does leadership play in analytical organizations?

A

Strong, committed leaders advocate for the development and use of analytics in decisions and actions.

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7
Q

Fill in the blank: Organizations need to target specific business capabilities and functions for the extensive use of _______.

A

[analytics]

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8
Q

What factor was added in the subsequent version of the DELTA model, called DELTTA?

A

Technology factor, particularly for big data analytics environments.

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9
Q

What percentage of firms surveyed indicated that analytical capability is a key element of strategy?

A

Ten percent.

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10
Q

Which industry was identified as having the highest analytical competitor levels in a survey?

A

Digital natives (online and e-commerce businesses).

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11
Q

Name one of the lowest-ranking industries in terms of analytical competition.

A

Health care providers or health insurance companies.

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12
Q

What is an example of a distinctive capability for Netflix?

A

Predicting customer viewing preferences.

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13
Q

How do analytical competitors approach the measurement of their capabilities?

A

They engage in both exploitation and exploration of measures.

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14
Q

What is the most commonly used measure in consumer finance?

A

FICO score.

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15
Q

True or False: Companies without a distinctive capability can still be analytical competitors.

A

False.

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16
Q

Which company is noted for adopting FICO scores earlier and more aggressively than others?

A

Capital One.

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17
Q

What is one potential future application of credit scores outside traditional finance?

A

Making life and health insurance decisions and pricing of premiums.

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18
Q

What should mission-critical capabilities be for analytical competitors?

A

The organization’s primary analytical target.

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19
Q

What does an enterprise-level approach to analytics involve?

A

Managing analytics as an organization-wide activity rather than in silos.

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20
Q

What was one of the reasons RBC Financial Group became a successful analytical competitor?

A

All customer data was owned by the enterprise and held in a central customer information file.

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21
Q

In a survey of organizations’ approaches to business intelligence, what percentage reported a formal needs assessment process across the enterprise?

A

22 percent.

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22
Q

What percentage of user-created spreadsheets reportedly contain errors?

A

Between 20 percent and 40 percent.

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23
Q

What is a common issue with departmental analytical applications?

A

They often remain in the background and may be left to individuals, leading to errors in user-created spreadsheets.

Research indicates that 20-40% of user-created spreadsheets contain errors.

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24
Q

What problem arises from individual analytics in organizations?

A

They create ‘multiple versions of the truth’ which complicates decision-making.

Different databases and calculations can lead to inconsistencies across departments.

25
Q

What is the advantage of managing analytics at the enterprise level?

A

It ensures that there is only one version of critical business information and analytical results for decision making.

26
Q

What management approach does Caesars use for customer analytics?

A

‘Centrally driven, broadly distributed.’

27
Q

What role does a Chief Data and Analytics Officer (CDAO) typically play?

A

Responsible for data governance, establishing strategic policies, and developing analytical talent.

The CDAO often reports directly to senior executives like COO, CMO, or CIO.

28
Q

What is one key responsibility of the CDAO?

A

To ensure the organization has the data and capabilities needed to leverage big data and analytics.

29
Q

What is a significant factor for the adoption of analytical approaches in business?

A

Senior management commitment, ideally led by the CEO.

30
Q

Who are some examples of executives driving the shift to analytics?

A
  • Gary Loveman (Caesars)
  • Jeff Bezos (Amazon)
  • Rich Fairbank (Capital One)
  • Reed Hastings (Netflix)
  • Barry Beracha (Sara Lee)
31
Q

What does ‘information-based strategy’ refer to?

A

A strategy that emphasizes using data to make critical long-term decisions, particularly in lending.

32
Q

What did Gary Loveman emphasize in his management style?

A

The importance of supporting ideas with evidence and maintaining a control group in decision-making.

33
Q

What is a common characteristic of successful analytical competitors?

A

They have a strong commitment from senior executives to drive a culture of analytics.

34
Q

What is the significance of a CEO’s background in analytics?

A

It helps in engaging with quantitative experts and pushing for analytical thinking within the organization.

35
Q

What aspect of Barclays’s consumer finance organization illustrates commitment to analytics?

A

A five-year plan to build analytical capabilities based on successful strategies from other banks.

36
Q

What is the UPS ORION project known for?

A

It aims to optimize routing for drivers and has grown from a small team to a large-scale project.

37
Q

What did Jack Levis prioritize in the ORION project?

A

Senior management buy-in and persistence to overcome challenges during development.

38
Q

What defines the aspirations of analytical competitors?

A

They aim for significant, strategic results from analytics-based strategies.

39
Q

What are some examples of financial benefits from analytical initiatives?

A
  • Yield management at American Airlines saved $1.2 billion.
  • Deere & Company saved $1.2 billion in inventory costs.
  • UPS’s ORION project is expected to save half a billion dollars annually.
40
Q

What impact did Caesars’ customer loyalty analytics initiative have?

A

Increased market share from 36% to 43% and consistent sales gains over multiple quarters.

41
Q

Fill in the blank: A single analytical initiative should result in savings or revenue increases in the _______.

A

[hundreds of millions or billions]

42
Q

What sales trend did the company experience over twenty-four quarters?

A

Same store sales gains in twenty-three of twenty-four quarters.

43
Q

What significant change occurred after the adoption of certain approaches by the company?

A

The company failed to meet revenue and profit expectations for seven straight years before the adoption.

44
Q

What was the annual increase in earnings per share and return on equity for Capital One in its first decade?

A

At least 20 percent each year.

45
Q

What was the impact of Barclays’s information-based customer management strategy?

A
  • Lower recruitment costs for customers
  • Higher customer balances with lower risk exposure
  • 25 percent increase in revenue per customer account
46
Q

How long did Kroger grow same-store sales due to its analytics-based loyalty program?

A

Fifty-two straight quarters.

47
Q

What are the four factors defining analytical competition?

A
  • Senior executive commitment
  • Enterprise-wide approach
  • Analytics-led distinctive capability
  • Results aimed at substantial outcomes
48
Q

Why is senior executive commitment considered the most important factor in analytical competition?

A

It can make the other factors possible.

49
Q

What is the estimated percentage of large firms that would be classified as stage 5 analytical competitors?

A

No more than 5 percent.

50
Q

What is a characteristic of stage 4 organizations in analytical competition?

A

They are on the verge of analytical competition but face minor hurdles.

51
Q

What do stage 3 organizations understand about analytical competition?

A

They grasp the value and promise but face major capability hurdles.

52
Q

What is a defining characteristic of stage 2 organizations?

A

They exhibit localized analytics with no intention of competing on it.

53
Q

What term is used to describe organizations at stage 1 of analytical competition?

A

Analytically impaired organizations.

54
Q

What barriers do stage 1 organizations face in becoming analytical competitors?

A
  • Lack of will
  • Lack of skill
  • Human and technical barriers
55
Q

What is the greatest constraint on rapid movement through the stages of analytical competition?

A

Changing the basic business processes and behaviors of the organization and its people.

56
Q

What relationship will be discussed in chapter 3?

A

The relationship between analytical activity and business performance.

57
Q

What does chapter 4 focus on regarding analytics?

A

The role analytics play in internally oriented processes, such as finance and human resource management.

58
Q

What does chapter 5 focus on regarding analytics?

A

Using analytics to enhance organizations’ externally oriented activities.