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      35. Are missed Functional data analysis opportunities costing your organization money?

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      36. What evidence is there and what is measured?

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      37. How will effects be measured?

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      38. What are you verifying?

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      39. How sensitive must the Functional data analysis strategy be to cost?

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      40. Do you verify that corrective actions were taken?

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      41. What are your customers expectations and measures?

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      42. Where is it measured?

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      43. What are the estimated costs of proposed changes?

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      44. What are your primary costs, revenues, assets?

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      45. Does management have the right priorities among projects?

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      46. How is the value delivered by Functional data analysis being measured?

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      47. Do you effectively measure and reward individual and team performance?

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      48. How do you aggregate measures across priorities?

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      49. At what cost?

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      50. Do you have a flow diagram of what happens?

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      51. What causes mismanagement?

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      52. Are the Functional data analysis benefits worth its costs?

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      53. How can you reduce the costs of obtaining inputs?

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      54. Why do you expend time and effort to implement measurement, for whom?

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      55. Where is the cost?

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      56. Have you included everything in your Functional data analysis cost models?

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      57. What tests verify requirements?

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      58. Is the cost worth the Functional data analysis effort ?

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      59. Are Functional data analysis vulnerabilities categorized and prioritized?

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      60. What relevant entities could be measured?

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      61. Is it possible to estimate the impact of unanticipated complexity such as wrong or failed assumptions, feedback, etcetera on proposed reforms?

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      62. How frequently do you track Functional data analysis measures?

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      63. What are allowable costs?

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      64. Are you able to realize any cost savings?

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      65. Are supply costs steady or fluctuating?

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      66. What are the uncertainties surrounding estimates of impact?

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      67. How to cause the change?

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      68. How can you reduce costs?

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      69. What do people want to verify?

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      70. When are costs are incurred?

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      71. Is there an opportunity to verify requirements?

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      72. What is measured? Why?

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      73. What drives O&M cost?

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      74. What are the current costs of the Functional data analysis process?

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      75. Why do the measurements/indicators matter?

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      76. Have you made assumptions about the shape of the future, particularly its impact on your customers and competitors?

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      77. Are the measurements objective?

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      78. What would be a real cause for concern?

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      79. How will measures be used to manage and adapt?

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      80. What is the Functional data analysis business impact?

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      81. How do you verify the authenticity of the data and information used?

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      82. What are your key Functional data analysis organizational performance measures, including key short and longer-term financial measures?

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      83. Has a cost center been established?

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      84. What does your operating model cost?

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      85. Are there any easy-to-implement alternatives to Functional data analysis? Sometimes other solutions are available that do not require the cost implications of a full-blown project?

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      86. What could cause delays in the schedule?

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      87. What causes extra work or rework?

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      88. What are the costs of reform?

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      89. How do you verify and validate the Functional data analysis data?

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      90. How are measurements made?

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      91. What details are required of the Functional data analysis cost structure?

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      92. How do you verify the Functional data analysis requirements quality?

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      93. What is your Functional data analysis quality cost segregation study?

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      94. Are you aware of what could cause a problem?

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      95.

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