Читать книгу Standard Data Model 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 could cause delays in the schedule?
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2. What are your key Standard data model organizational performance measures, including key short and longer-term financial measures?
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3. 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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4. What are the Standard data model key cost drivers?
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5. Have design-to-cost goals been established?
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6. How do your measurements capture actionable Standard data model information for use in exceeding your customers expectations and securing your customers engagement?
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7. Are there measurements based on task performance?
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8. Which costs should be taken into account?
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9. Are there any easy-to-implement alternatives to Standard data model? Sometimes other solutions are available that do not require the cost implications of a full-blown project?
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10. Are you able to realize any cost savings?
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11. What are the current costs of the Standard data model process?
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12. Do you have an issue in getting priority?
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13. Are indirect costs charged to the Standard data model program?
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14. What are the uncertainties surrounding estimates of impact?
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15. How will you measure success?
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16. How do you measure variability?
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17. How to cause the change?
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18. What measurements are possible, practicable and meaningful?
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19. What is the cause of any Standard data model gaps?
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20. What do people want to verify?
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21. How will costs be allocated?
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22. At what cost?
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23. What would it cost to replace your technology?
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24. What are your primary costs, revenues, assets?
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25. What is the root cause(s) of the problem?
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26. What is the cost of rework?
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27. What is the total cost related to deploying Standard data model, including any consulting or professional services?
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28. Is the solution cost-effective?
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29. Are missed Standard data model opportunities costing your organization money?
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30. What are the Standard data model investment costs?
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31. What are the costs?
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32. Are there competing Standard data model priorities?
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33. How can you measure the performance?
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34. When should you bother with diagrams?
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35. What is your decision requirements diagram?
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36. Have you made assumptions about the shape of the future, particularly its impact on your customers and competitors?
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37. What are you verifying?
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38. What causes extra work or rework?
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39. What evidence is there and what is measured?
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40. What are the estimated costs of proposed changes?
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41. Does a Standard data model quantification method exist?
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42. Do the benefits outweigh the costs?
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43. How do you verify performance?
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44. What could cause you to change course?
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45. What are allowable costs?
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46. Is the cost worth the Standard data model effort ?
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47. How do you aggregate measures across priorities?
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48. Does management have the right priorities among projects?
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49. What tests verify requirements?
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50. Which Standard data model impacts are significant?
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51. Are the measurements objective?
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52. What are the costs of delaying Standard data model action?
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53. How do you control the overall costs of your work processes?
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54. When a disaster occurs, who gets priority?
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55. Was a business case (cost/benefit) developed?
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56. How will success or failure be measured?
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57. What are hidden Standard data model quality costs?
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58. When are costs are incurred?
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59. How can you measure Standard data model in a systematic way?
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60. Will Standard data model have an impact on current business continuity, disaster recovery processes and/or infrastructure?
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61. What is an unallowable cost?
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62. How is the value delivered by Standard data model being measured?
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63. How can a Standard data model test verify your ideas or assumptions?
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64. What are the strategic priorities for this year?
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65. Why do the measurements/indicators matter?
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66. How sensitive must the Standard data model strategy be to cost?
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67. Are you aware of what could cause a problem?
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68. How are measurements made?
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69. How do you verify if Standard data model is built right?
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70. Does the Standard data model task fit the client’s priorities?
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71. Which measures and indicators matter?
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72. Where is it measured?
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73. How frequently do you track Standard data model measures?
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74. How do you prevent mis-estimating cost?
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75. How do you measure lifecycle phases?
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76. Are Standard data model vulnerabilities categorized and prioritized?
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77. Did you tackle the cause or the symptom?
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78. Among the Standard data model product and service cost to be estimated, which is considered hardest to estimate?
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79. What happens if cost savings do not materialize?
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80. What does your operating model cost?
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81. What are your operating costs?
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82. What do you measure and why?
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83. What potential environmental factors impact the Standard data model effort?
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84. What can be used to verify compliance?
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85. What are the types and number of measures to use?
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86. What is the Standard data model business impact?
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87. Do you aggressively reward and promote the people who have the biggest impact on creating excellent Standard data model services/products?
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88. What causes innovation to fail or succeed in your organization?
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89. Are you taking your company in the direction of better and revenue or cheaper and cost?
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90. Are the Standard data model benefits worth its costs?
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91. Do you have any cost Standard data model limitation requirements?
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92. What is the total fixed cost?
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93. What is your Standard data model quality cost segregation study?
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94. What would be a real cause for concern?
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95. How do you verify and develop ideas and innovations?
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96. How can you reduce costs?
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97. Who pays the cost?
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98. How are costs allocated?
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99. How is progress measured?
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100. How much does it cost?
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101. How will your organization measure success?
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102. What are the costs of reform?
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103. Have you included everything in your Standard data model cost models?
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104. Are actual costs in line with budgeted costs?
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105. Why do you expend time and effort to implement measurement, for whom?
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106. What users will be impacted?
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107. What details are required of the Standard data model cost structure?
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108. How do you verify the Standard data model requirements quality?
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109. What are the operational costs after Standard data model deployment?
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110. How long to keep data and how to manage retention costs?
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111. How will you measure your Standard data model effectiveness?
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112. How do you verify and validate the Standard data model data?
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113. How do you verify the authenticity of the data and information used?
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114. What does a Test Case verify?
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115. Where is the cost?
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116. How can you manage cost down?
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117. How is performance measured?
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118. What is measured? Why?
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119. Do you effectively measure and reward individual and team performance?
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120. What disadvantage does this cause for the user?
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121. How do you verify your resources?
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122. What causes mismanagement?
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123. What methods are feasible and acceptable to estimate the impact of reforms?
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124. How will effects be measured?
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125. How do you measure efficient delivery of Standard data model services?
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126. How do you measure success?
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127. What does losing customers cost your organization?
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128. Are supply costs steady or fluctuating?
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129. What relevant entities could be measured?
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130. How can you reduce the costs of obtaining inputs?
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131. Do you have a flow diagram of what happens?
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132. What causes investor action?
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133. Are the units of measure consistent?
