CHAPTER SIX A ROAD MAP TO ENHANCED ANALYTICAL CAPABILITIES PROGRESSING THROUGH THE FIVE STAGES OF ANALYTICAL MATURITY Flashcards

1
Q

What is the primary focus of organizations like Google, Amazon, and Netflix?

A

Using analytics as the basis of competition

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2
Q

What is a key challenge for organizations wanting to develop analytical capabilities?

A

Managing the complexity of software applications, technology, data, processes, metrics, incentives, skills, culture, and sponsorship

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3
Q

How long does it typically take to develop a steady stream of rich insights from data?

A

Eighteen to thirty-six months

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4
Q

True or False: Highly analytical companies have no further work to do to improve their analytical capabilities.

A

False

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5
Q

What is the first stage in the road map to analytical competition?

A

Prerequisites to Analytical Competition

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6
Q

What must organizations improve first to prepare for analytics?

A

Their transaction data environment for consistent, quality data

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7
Q

What type of management team is unlikely to support analytical initiatives?

A

A ‘data-allergic’ management team

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8
Q

What should organizations assess to gauge their analytical capabilities?

A

Strategic insight, sponsorship, culture, skills, data, and IT

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9
Q

What is a common misconception about analytics and technology?

A

That analytics are synonymous with technology

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10
Q

What are the three main areas organizations need to assess for analytical capability?

A
  • Organization
  • Human
  • Technology
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11
Q

What is the significance of having a clear strategy in analytics?

A

To know which data to focus on and how to allocate analytical resources

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12
Q

Fill in the blank: Organizations initially focus on one or two areas for _______.

A

analytical competition

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13
Q

What is a critical factor for organizations to improve their performance drivers?

A

To quantify and improve insights into costs, profitability, growth, and shareholder value

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14
Q

What should managers consider to maximize strategic impact in analytics?

A
  • Distinguishing themselves in the marketplace
  • Identifying their distinctive capability
  • Key decisions needing analytical support
  • What information matters to the business
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15
Q

What is the path organizations can take if they have strong management commitment to analytics?

A

Full steam ahead

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16
Q

What is the main challenge for startups on the full steam ahead path?

A

Acquiring and deploying human and financial resources

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17
Q

What is the risk of organizations choosing the prove-it detour?

A

Remaining stalled indefinitely

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18
Q

How long may the prove-it detour add to the time needed to become an analytical competitor?

A

One to three years

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19
Q

What is an effective approach for organizations taking the prove-it detour?

A

A test-and-learn approach with small, tactical projects

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20
Q

What does a committed CEO need to articulate to drive analytical competition?

A

A clear and urgent need for change

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21
Q

What should organizations monitor to ensure strategic objectives are met?

A

Metrics tied to strategic enterprise objectives

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22
Q

What common trait do organizations that follow the full steam ahead path share?

A

They prioritize integrating analytics into their distinctive capability

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23
Q

What is the advantage of starting small in analytics implementation?

A

Allows for tactical applications, lower investment, and builds evidence of value

Smaller projects can lead to incremental insights that support larger initiatives.

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24
Q

What are the key steps in stage 2 of analytics implementation?

A
  1. Finding a sponsor and a business problem
  2. Implementing a small, localized project
  3. Documenting benefits and sharing with stakeholders
  4. Building localized successes

These steps help in gaining experience and support for broader applications.

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25
Q

What can cause an organization to remain in stage 2 indefinitely?

A

Lack of results perceived by executives

Without tangible outcomes, executives may hesitate to invest further in analytics.

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26
Q

What is the difference in management sponsorship between the ‘full steam ahead’ and ‘prove-it’ paths?

A

Full steam ahead: top general manager sponsorship; Prove-it: functional manager sponsorship

Different levels of support can impact the pace and scope of analytics implementation.

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27
Q

What is the primary focus of PulpCo’s management team?

A

Improving financial and decision-making capabilities

PulpCo faced challenges due to a lack of accurate financial information.

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28
Q

What was a key realization for PulpCo’s management regarding their decision-making process?

A

Many crises resulted from a lack of accurate financial and customer information

This insight led to a shift towards analytical decision-making.

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29
Q

What breakthrough occurred at PulpCo that changed their approach to investments?

A

Detailed financial analysis revealed that a new plant would be a costly mistake

This led to a cancellation of the project and re-evaluation of existing capacity.

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30
Q

What is stage 3 in the analytics maturity model characterized by?

A

Executive sponsorship and a focus on a fact-based culture

The involvement of executives can significantly enhance the analytical capabilities of an organization.

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31
Q

What is BankCo’s primary challenge in the context of wealth management?

A

Increased competition from robo-advisers and new market entrants

Traditional banking models are under pressure due to evolving customer preferences.

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32
Q

What was the consequence of each department maintaining its own customer data at BankCo?

A

Executives could not get a complete picture of client relationships

This fragmentation led to missed cross-selling opportunities and customer dissatisfaction.

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33
Q

What initiative did BankCo implement to improve its analytical orientation?

A

Creation of an integrated and consistent customer database

This initiative aimed to enhance enterprise-wide analytics and customer insights.

34
Q

What is a critical element of stage 3 in analytics development?

A

Defining achievable performance metrics and monitoring progress

Metrics should align with broad business objectives to measure the success of analytics initiatives.

35
Q

Fill in the blank: Stage 3 is triggered when analytics gain _______.

A

[executive sponsorship]

36
Q

True or False: PulpCo is considered an analytical competitor at stage 5.

A

False

PulpCo is not yet at stage 5 but has made significant progress.

37
Q

What is the primary role of the analytics hub created in stage 3?

A

Foster and support analytical activities

Centralizing efforts can lead to more efficient use of resources and expertise.

38
Q

What did the executive team at BankCo conclude was necessary for improving customer relationships?

A

An enterprise-wide focus on analytics

This approach aimed to eliminate departmental silos and enhance customer insights.

39
Q

What was the outcome of introducing new performance metrics at BankCo?

A

Cleared the path for an enterprise-wide initiative

New metrics incentivized collaboration and improved overall performance.

40
Q

What is the primary focus in stage 4 of analytical development?

A

Building world-class analytical capabilities at the enterprise level.

41
Q

What challenges do organizations face in stage 4 regarding analytical competition?

A

Managing cultural and organizational changes.

42
Q

What is the role of a chief data officer in an organization competing on analytics?

A

To develop and implement the bank’s data and analytics strategy.

43
Q

True or False: In stage 5, analytics are considered a key to an organization’s strategy and competitive advantage.

44
Q

What does the acronym DELTA stand for in the context of building analytical capabilities?

A
  • Data
  • Enterprise
  • Leadership
  • Targets
  • Analysts
45
Q

What is essential for leveraging data effectively in analytics?

A

High-quality, diverse, and dynamic data.

46
Q

Fill in the blank: The most critical challenge in stage 4 is allocating sufficient attention to managing _______.

A

cultural and organizational changes.

47
Q

What are the components of the DELTA model?

A
  • Data
  • Enterprise
  • Leadership
  • Targets
  • Analysts
  • Technology
  • Analytical Techniques
48
Q

What must analytical leaders encourage to maximize the use of analytics in an organization?

A

A culture that views data as a strategic asset.

49
Q

How do analytical competitors sustain their competitive advantage?

A

By avoiding complacency and continuously monitoring external environments.

50
Q

What is a common pitfall for organizations in developing analytical capabilities?

A

Shifting resources away from analytics initiatives during tough business conditions.

51
Q

What is the significance of having an enterprise perspective in analytics?

A

To avoid a fractured understanding of issues and resources.

52
Q

What role do analysts play in an organization’s analytical capability?

A

They build and maintain the models and algorithms used throughout the organization.

53
Q

What is a characteristic of stage 5 analytical competitors?

A

Proprietary metrics, analytics, processes, and data create strong barriers to competitors.

54
Q

True or False: ConsumerCo exemplifies a company with strong executive-level commitment to analytics.

55
Q

What is a key responsibility of the IT department in supporting analytics?

A

Providing infrastructure, tools, and technologies for analytics.

56
Q

What type of organizational changes are often resistant to analytics initiatives?

A

Cultural changes between ‘quant jocks’ and the old guard.

57
Q

What is a benefit of having a critical mass of analysts focused on strategic issues?

A

Greater job satisfaction and opportunity to develop skills.

58
Q

What do organizations often need to do to realize the benefits of analytical initiatives?

A

Monitor outcomes to ensure anticipated benefits are achieved.

59
Q

Fill in the blank: The path to success with analytics requires _______ change for an organization.

A

significant.

60
Q

What is the purpose of the DELTA model for executives?

A

To create a road map for building their organization’s analytical capabilities.

61
Q

What can hinder the success of analytical initiatives if not managed properly?

A

Outcomes and priorities.

62
Q

What happens to analytical systems if executive support is not widespread?

A

Interest in analytics will subside if key executives leave.

63
Q

What is a common characteristic of analytical leaders?

A

They are passionate advocates for analytics and data-driven decision making.

64
Q

What is the DELTA model?

A

A framework for analytical capabilities that requires all elements to work together for high performance.

65
Q

What are the four types of outcomes critical to measuring an initiative’s performance?

A
  • Behaviors
  • Processes and programs
  • Products and services
  • Financial results
66
Q

Why is changing employee behaviors important for improved financial outcomes?

A

Many analytical insights require employee compliance and changes in behavior to be effective.

67
Q

What is a key factor in translating insights into actions?

A

Developing new programs to train customer-facing employees.

68
Q

How can analytics be integrated into business processes?

A

By incorporating analytical support applications into work processes.

69
Q

What is one way to create value with data?

A

By developing innovative products and services that incorporate data and/or analytics.

70
Q

What should organizations specify to measure the success of an analytical initiative?

A

The desired financial outcomes.

71
Q

What are common initial justifications for analytical initiatives?

A

Cost savings.

72
Q

What should organizations prioritize when defining actions for analytical initiatives?

A

Projects with the greatest potential benefit to distinctive capabilities and competitive differentiation.

73
Q

What is a common mistake organizations make regarding analytical technology?

A

Assuming that having analytical technology alone will transform the organization.

74
Q

What questions should managers ask when evaluating new analytical initiatives?

A
  • How will this investment make us more competitive?
  • To what extent will this investment make us more agile?
  • How does the initiative improve analytical capabilities?
  • How will it foster greater innovation and growth?
  • What complementary changes are needed?
  • Does the right data exist?
  • Is the technology reliable and cost-effective?
75
Q

What are some common errors organizations make in analytical capability?

A
  • Focusing excessively on one dimension
  • Collecting data without plans to use it
  • Attempting to do everything at once
  • Investing excessive resources with minimal impact
  • Choosing the wrong problem or technique
76
Q

What is a concern regarding the intentional undermining of analytical competition?

A

Data analysis can be abused if statistics are manipulated.

77
Q

What must executives do to foster a culture of objectivity in analytics?

A

Root out self-serving statistics and enforce objective criteria for decision-making.

78
Q

What is the focus of the next chapter?

A

Managing an organization’s commitment to key people using analytics.

79
Q

Fill in the blank: The DELTA model requires all elements to be _______.

A

[working together]

80
Q

True or False: Financial results are the only outcomes that matter in an analytical initiative.