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