Score
46. Have design-to-cost goals been established?
<--- Score
47. What methods are feasible and acceptable to estimate the impact of reforms?
<--- Score
48. Is the cost worth the Revenue Analytics effort ?
<--- Score
49. How are costs allocated?
<--- Score
50. What are hidden Revenue Analytics quality costs?
<--- Score
51. What measurements are possible, practicable and meaningful?
<--- Score
52. Does management have the right priorities among projects?
<--- Score
53. How do you measure success?
<--- Score
54. Are you taking your company in the direction of better and revenue or cheaper and cost?
<--- Score
55. What measurements are being captured?
<--- Score
56. What does your operating model cost?
<--- Score
57. What details are required of the Revenue Analytics cost structure?
<--- Score
58. What are you verifying?
<--- Score
59. Has a cost center been established?
<--- Score
60. What are the costs of reform?
<--- Score
61. How can you manage cost down?
<--- Score
62. What are the estimated costs of proposed changes?
<--- Score
63. What is measured? Why?
<--- Score
64. What causes innovation to fail or succeed in your organization?
<--- Score
65. What is your Revenue Analytics quality cost segregation study?
<--- Score
66. Why do you expend time and effort to implement measurement, for whom?
<--- Score
67. Are there measurements based on task performance?
<--- Score
68. How will success or failure be measured?
<--- Score
69. When are costs are incurred?
<--- Score
70. How is progress measured?
<--- Score
71. Do you aggressively reward and promote the people who have the biggest impact on creating excellent Revenue Analytics services/products?
<--- Score
72. What is your decision requirements diagram?
<--- Score
73. How do you verify and develop ideas and innovations?
<--- Score
74. Are there any easy-to-implement alternatives to Revenue Analytics? Sometimes other solutions are available that do not require the cost implications of a full-blown project?
<--- Score
75. What users will be impacted?
<--- Score
76. Do you effectively measure and reward individual and team performance?
<--- Score
77. How to cause the change?
<--- Score
78. How sensitive must the Revenue Analytics strategy be to cost?
<--- Score
79. What are allowable costs?
<--- Score
80. Is it possible to estimate the impact of unanticipated complexity such as wrong or failed assumptions, feedback, etcetera on proposed reforms?
<--- Score
81. How do you measure variability?
<--- Score
82. Does a Revenue Analytics quantification method exist?
<--- Score
83. How much does it cost?
<--- Score
84. Which Revenue Analytics impacts are significant?
<--- Score
85. How do your measurements capture actionable Revenue Analytics information for use in exceeding your customers expectations and securing your customers engagement?
<--- Score
86. How can you reduce costs?
<--- Score
87. What are your operating costs?
<--- Score
88. What do people want to verify?
<--- Score
89. Have you included everything in your Revenue Analytics cost models?
<--- Score
90. What does a Test Case verify?
<--- Score
91. Are the measurements objective?
<--- Score
92. What are the strategic priorities for this year?
<--- Score
93. How can you measure Revenue Analytics in a systematic way?
<--- Score
94. How will you measure success?
<--- Score
95. How do you control the overall costs of your work processes?
<--- Score
96. Is there an opportunity to verify requirements?
<--- Score
97. What is the total fixed cost?
<--- Score
98. Have you made assumptions about the shape of the future, particularly its impact on your customers and competitors?
<--- Score
99. Which costs should be taken into account?
<--- Score
100. What are the costs of delaying Revenue Analytics action?
<--- Score
101. How will you measure your Revenue Analytics effectiveness?
<--- Score
102. How will your organization measure success?
<--- Score
103. How is the value delivered by Revenue Analytics being measured?
<--- Score
104. How can you reduce the costs of obtaining inputs?
<--- Score
105. What is the cause of any Revenue Analytics gaps?
<--- Score
106.