Читать книгу Revenue Analytics A Complete Guide - 2020 Edition - Gerardus Blokdyk - Страница 7

CRITERION #1: RECOGNIZE

INTENT: Be aware of the need for change. Recognize that there is an unfavorable variation, problem or symptom.

In my belief, the answer to this question is clearly defined:

5 Strongly Agree

4 Agree

3 Neutral

2 Disagree

1 Strongly Disagree

1. Are problem definition and motivation clearly presented?

<--- Score

2. Who needs to know about Revenue Analytics?

<--- Score

3. How do you assess your Revenue Analytics workforce capability and capacity needs, including skills, competencies, and staffing levels?

<--- Score

4. What do you need to start doing?

<--- Score

5. Is the need for organizational change recognized?

<--- Score

6. How do you identify subcontractor relationships?

<--- Score

7. Which needs are not included or involved?

<--- Score

8. How do you recognize an Revenue Analytics objection?

<--- Score

9. How can auditing be a preventative security measure?

<--- Score

10. When a Revenue Analytics manager recognizes a problem, what options are available?

<--- Score

11. What is the problem and/or vulnerability?

<--- Score

12. How do you identify the kinds of information that you will need?

<--- Score

13. What Revenue Analytics coordination do you need?

<--- Score

14. Does your organization need more Revenue Analytics education?

<--- Score

15. What tools and technologies are needed for a custom Revenue Analytics project?

<--- Score

16. What Revenue Analytics capabilities do you need?

<--- Score

17. Who are your key stakeholders who need to sign off?

<--- Score

18. Did you miss any major Revenue Analytics issues?

<--- Score

19. Is it needed?

<--- Score

20. How are you going to measure success?

<--- Score

21. Why is this needed?

<--- Score

22. Whom do you really need or want to serve?

<--- Score

23. Are you dealing with any of the same issues today as yesterday? What can you do about this?

<--- Score

24. What training and capacity building actions are needed to implement proposed reforms?

<--- Score

25. Will new equipment/products be required to facilitate Revenue Analytics delivery, for example is new software needed?

<--- Score

26. What are the Revenue Analytics resources needed?

<--- Score

27. Have you identified your Revenue Analytics key performance indicators?

<--- Score

28. Will Revenue Analytics deliverables need to be tested and, if so, by whom?

<--- Score

29. Does the problem have ethical dimensions?

<--- Score

30. What is the smallest subset of the problem you can usefully solve?

<--- Score

31. Who needs what information?

<--- Score

32. Are employees recognized or rewarded for performance that demonstrates the highest levels of integrity?

<--- Score

33. What does Revenue Analytics success mean to the stakeholders?

<--- Score

34. What are the minority interests and what amount of minority interests can be recognized?

<--- Score

35. Are your goals realistic? Do you need to redefine your problem? Perhaps the problem has changed or maybe you have reached your goal and need to set a new one?

<--- Score

36. How does it fit into your organizational needs and tasks?

<--- Score

37. Do you need to avoid or amend any Revenue Analytics activities?

<--- Score

38. Are there regulatory / compliance issues?

<--- Score

39. What activities does the governance board need to consider?

<--- Score

40. Does Revenue Analytics create potential expectations in other areas that need to be recognized and considered?

<--- Score

41. What is the Revenue Analytics problem definition? What do you need to resolve?

<--- Score

42. What extra resources will you need?

<--- Score

43. What Revenue Analytics problem should be solved?

<--- Score

44. What information do users need?

<--- Score

45. Where is training needed?

<--- Score

46. Are there Revenue Analytics problems defined?

<--- Score

47. What needs to be done?

<--- Score

48. Looking at each person individually – does every one have the qualities which are needed to work in this group?

<--- Score

49. What do employees need in the short term?

<--- Score

50. What problems are you facing and how do you consider Revenue Analytics will circumvent those obstacles?

<--- Score

51. Who defines the rules in relation to any given issue?

<--- Score

52. How do you take a forward-looking perspective in identifying Revenue Analytics research related to market response and models?

<--- Score

53. What are the clients issues and concerns?

<--- Score

54. What are the stakeholder objectives to be achieved with Revenue Analytics?

<--- Score

55. Are there recognized Revenue Analytics problems?

<--- Score

56. Consider your own Revenue Analytics project, what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?

<--- Score

57. Who needs budgets?

<--- Score

58. What else needs to be measured?

<--- Score

59. What are your needs in relation to Revenue Analytics skills, labor, equipment, and markets?

<--- Score

60. Is the quality assurance team identified?

<--- Score

61. What needs to stay?

<--- Score

62. Are there any specific expectations or concerns about the Revenue Analytics team, Revenue Analytics itself?

<--- Score

63. Think about the people you identified for your Revenue Analytics project and the project responsibilities you would assign to them, what kind of training do you think they would need to perform these responsibilities effectively?

<--- Score

64. How are training requirements identified?

<--- Score

65. What is the extent or complexity of the Revenue Analytics problem?

<--- Score

66. Do you need different information or graphics?

<--- Score

67. Are there any revenue recognition issues?

<--- Score

68. Why the need?

<--- Score

69. Will it solve real problems?

<--- Score

70. What creative shifts do you need to take?

<--- Score

71. How are the Revenue Analytics’s objectives aligned to the group’s overall stakeholder strategy?

<--- Score

72. For your Revenue Analytics project, identify and describe the business environment, is there more than one layer to the business environment?

<--- Score

73. Do you know what you need to know about Revenue Analytics?

<--- Score

74. Are losses recognized in a timely manner?

<--- Score

75. Who else hopes to benefit from it?

<--- Score

76. Would you recognize a threat from the inside?

<--- Score

77. What vendors make products that address the Revenue Analytics needs?

<--- Score

78. What are the expected benefits of Revenue Analytics to the stakeholder?

<--- Score

79. Do you recognize Revenue Analytics achievements?

<--- Score

80. Which information does the Revenue Analytics business case need to include?

<--- Score

81. As a sponsor, customer or management, how important is it to meet goals, objectives?

<--- Score

82. Where do you need to exercise leadership?

<--- Score

83. Which issues are too important to ignore?

<--- Score

84. What is the recognized need?

<--- Score

85. How much are sponsors, customers, partners, stakeholders involved in Revenue Analytics? In other words, what are the risks, if Revenue Analytics does not deliver successfully?

<--- Score

86. What resources or support might you need?

<--- Score

87. What would happen if Revenue Analytics weren’t done?

<--- Score

88. Who needs to know?

<--- Score

89. Are controls defined to recognize and contain problems?

<--- Score

90. Will a response program recognize when a crisis occurs and provide some level of response?

<--- Score

91. To what extent does each concerned units management team recognize Revenue Analytics as an effective investment?

<--- Score

92. What should be considered when identifying available resources, constraints, and deadlines?

<--- Score

93. Do you have/need 24-hour access to key personnel?

<--- Score

94. Are employees recognized for desired behaviors?

<--- Score

95. Is it clear when you think of the day ahead of you what activities and tasks you need to complete?

<--- Score

96. What situation(s) led to this Revenue Analytics Self Assessment?

<--- Score

97. What Revenue Analytics events should you attend?

<--- Score

98. Who should resolve the Revenue Analytics issues?

<--- Score

99. Can management personnel recognize the monetary benefit of Revenue Analytics?

<--- Score

Add up total points for this section: _____ = Total points for this section

Divided by: ______ (number of statements answered) = ______ Average score for this section

Transfer your score to the Revenue Analytics Index at the beginning of the Self-Assessment.