Читать книгу Web Data Services 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 are measurements made?
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2. Why do the measurements/indicators matter?
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3. What is your Web data services quality cost segregation study?
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4. What are your primary costs, revenues, assets?
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5. When a disaster occurs, who gets priority?
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6. What harm might be caused?
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7. Which Web data services impacts are significant?
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8. What are the operational costs after Web data services deployment?
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9. Does the Web data services task fit the client’s priorities?
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10. What does your operating model cost?
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11. Are you aware of what could cause a problem?
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12. Is the cost worth the Web data services effort ?
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13. What is the root cause(s) of the problem?
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14. Who should receive measurement reports?
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15. What users will be impacted?
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16. What drives O&M cost?
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17. Do the benefits outweigh the costs?
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18. Was a business case (cost/benefit) developed?
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19. Will Web data services have an impact on current business continuity, disaster recovery processes and/or infrastructure?
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20. What is your decision requirements diagram?
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21. How do you verify if Web data services is built right?
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22. What are the costs and benefits?
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23. How frequently do you verify your Web data services strategy?
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24. The approach of traditional Web data services works for detail complexity but is focused on a systematic approach rather than an understanding of the nature of systems themselves, what approach will permit your organization to deal with the kind of unpredictable emergent behaviors that dynamic complexity can introduce?
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25. What are hidden Web data services quality costs?
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26. Do you effectively measure and reward individual and team performance?
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27. What are the costs of reform?
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28. What are the strategic priorities for this year?
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29. How do you measure variability?
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30. What is the total cost related to deploying Web data services, including any consulting or professional services?
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31. Do you have a flow diagram of what happens?
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32. Did you tackle the cause or the symptom?
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33. What methods are feasible and acceptable to estimate the impact of reforms?
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34. Why a Web data services focus?
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35. What causes extra work or rework?
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36. How do you verify and develop ideas and innovations?
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37. What is an unallowable cost?
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38. Have you made assumptions about the shape of the future, particularly its impact on your customers and competitors?
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39. What are your operating costs?
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40. How do you verify your resources?
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41. What do you measure and why?
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42. What does a Test Case verify?
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43. Where can you go to verify the info?
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44. Are there competing Web data services priorities?
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45. What tests verify requirements?
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46. How can you reduce the costs of obtaining inputs?
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47. How will measures be used to manage and adapt?
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48. What potential environmental factors impact the Web data services effort?
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49. What does verifying compliance entail?
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50. What are the costs?
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51. What measurements are possible, practicable and meaningful?
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52. Where is the cost?
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53. How will success or failure be measured?
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54. Are indirect costs charged to the Web data services program?
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55. Among the Web data services product and service cost to be estimated, which is considered hardest to estimate?
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56. What are allowable costs?
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57. Has a cost center been established?
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58. How sensitive must the Web data services strategy be to cost?
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59. Are the units of measure consistent?
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60. At what cost?
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61. What happens if cost savings do not materialize?
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62. Does a Web data services quantification method exist?
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63. Have you included everything in your Web data services cost models?
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64. Which measures and indicators matter?
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65. How will effects be measured?
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66. Are there any easy-to-implement alternatives to Web data services? Sometimes other solutions are available that do not require the cost implications of a full-blown project?
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67. Do you have an issue in getting priority?
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68. What is the cause of any Web data services gaps?
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69. How will costs be allocated?
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70. How will you measure your Web data services effectiveness?
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71. What causes innovation to fail or succeed in your organization?
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72. How can you measure the performance?
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73. How is the value delivered by Web data services being measured?
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74. How are costs allocated?
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75. What are the Web data services investment costs?
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76. How can you reduce costs?
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77. How frequently do you track Web data services measures?
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78. How do you stay flexible and focused to recognize larger Web data services results?
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79. What are you verifying?
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80. How do you prevent mis-estimating cost?
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81. How do you verify and validate the Web data services data?
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82. Do you verify that corrective actions were taken?
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83. What are the types and number of measures to use?
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84. What is the total fixed cost?
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85. Is a follow-up focused external Web data services review required?
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86. Are the measurements objective?
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87. What evidence is there and what is measured?
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88. What are the uncertainties surrounding estimates of impact?
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89. What relevant entities could be measured?
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90. How can you manage cost down?
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91. Which costs should be taken into account?
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92. What do people want to verify?
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93. Where is it measured?
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94. What are the costs of delaying Web data services action?
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95. What are the current costs of the Web data services process?
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96. When are costs are incurred?
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97. Do you have any cost Web data services limitation requirements?
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98. How do you quantify and qualify impacts?
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99. How do you measure efficient delivery of Web data services services?
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100. How do you verify the Web data services requirements quality?
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101. How can you measure Web data services in a systematic way?
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102. How do you aggregate measures across priorities?
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103. What could cause you to change course?
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104. Are the Web data services benefits worth its costs?
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105. How do you verify the authenticity of the data and information used?
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106. What is the cost of rework?
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107. Is the solution cost-effective?
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108. How is performance measured?
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109. Are you able to realize any cost savings?
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110. Are you taking your company in the direction of better and revenue or cheaper and cost?
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111. What would it cost to replace your technology?
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112. How are you verifying it?
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113. Who pays the cost?
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114. What details are required of the Web data services cost structure?
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115. Are missed Web data services opportunities costing your organization money?
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116. How do you focus on what is right -not who is right?
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117. How is progress measured?
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118. What causes investor action?
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119. How much does it cost?
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120. Who is involved in verifying compliance?
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121. What are the Web data services key cost drivers?
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122. What disadvantage does this cause for the user?
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123. Why do you expend time and effort to implement measurement, for whom?
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124. Do you aggressively reward and promote the people who have the biggest impact on creating excellent Web data services services/products?
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125. What is measured? Why?
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