Читать книгу Functional Data Analysis A Complete Guide - 2020 Edition - Gerardus Blokdyk - Страница 9
ОглавлениеCRITERION #3: MEASURE:
INTENT: Gather the correct data. Measure the current performance and evolution of the situation.
In my belief, the answer to this question is clearly defined:
5 Strongly Agree
4 Agree
3 Neutral
2 Disagree
1 Strongly Disagree
1. What does losing customers cost your organization?
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2. How is performance measured?
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3. Who pays the cost?
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4. Which Functional data analysis impacts are significant?
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5. What users will be impacted?
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6. Are there measurements based on task performance?
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7. Do you have an issue in getting priority?
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8. How do you verify your resources?
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9. What is your decision requirements diagram?
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10. What are the Functional data analysis key cost drivers?
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11. How can you manage cost down?
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12. What could cause you to change course?
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13. What measurements are being captured?
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14. Which measures and indicators matter?
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15. What are the operational costs after Functional data analysis deployment?
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16. Which costs should be taken into account?
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17. How do you control the overall costs of your work processes?
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18. How can a Functional data analysis test verify your ideas or assumptions?
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19. What causes investor action?
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20. What is an unallowable cost?
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21. What are your operating costs?
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22. How will your organization measure success?
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23. Are there competing Functional data analysis priorities?
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24. What does a Test Case verify?
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25. What do you measure and why?
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26. How do you quantify and qualify impacts?
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27. Among the Functional data analysis product and service cost to be estimated, which is considered hardest to estimate?
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28. Was a business case (cost/benefit) developed?
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29. How can you measure Functional data analysis in a systematic way?
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30. How will you measure your Functional data analysis effectiveness?
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31. How do you measure variability?
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32. Are the units of measure consistent?
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33. What can be used to verify compliance?
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34. Did you tackle the cause or the symptom?
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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. How do you verify and develop ideas and innovations?
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96. How do you prevent mis-estimating cost?
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97. When should you bother with diagrams?
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98. Who is involved in verifying compliance?
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99. What is the total cost related to deploying Functional data analysis, including any consulting or professional services?
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100. What disadvantage does this cause for the user?
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101. How are costs allocated?
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102. Does the Functional data analysis task fit the client’s priorities?
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103. Do the benefits outweigh the costs?
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104. How do your measurements capture actionable Functional data analysis information for use in exceeding your customers expectations and securing your customers engagement?
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105. What does verifying compliance entail?
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106. What are the costs of delaying Functional data analysis action?
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107. How do you verify if Functional data analysis is built right?
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108. Are actual costs in line with budgeted costs?
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109. How will you measure success?
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110. What harm might be caused?
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111. How long to keep data and how to manage retention costs?
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112. Have design-to-cost goals been established?
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113. How do you verify Functional data analysis completeness and accuracy?
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114. What are the Functional data analysis investment costs?
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115. What are the strategic priorities for this year?
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116. How do you measure lifecycle phases?
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117. What causes innovation to fail or succeed in your organization?
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118. What methods are feasible and acceptable to estimate the impact of reforms?
