Название: Computer Systems Engineering A Complete Guide - 2020 Edition
Автор: Gerardus Blokdyk
Издательство: Ingram
Жанр: Зарубежная деловая литература
isbn: 9781867457152
isbn:
89. How do you quantify and qualify impacts?
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90. What harm might be caused?
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91. How are you verifying it?
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92. How will the Computer Systems Engineering data be analyzed?
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93. Are you able to realize any cost savings?
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94. Is there an opportunity to verify requirements?
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95. Will Computer Systems Engineering have an impact on current business continuity, disaster recovery processes and/or infrastructure?
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96. What potential environmental factors impact the Computer Systems Engineering effort?
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97. What are your operating costs?
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98. How will you measure your Computer Systems Engineering effectiveness?
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99. Do you have a flow diagram of what happens?
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100. How will effects be measured?
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101. How do your measurements capture actionable Computer Systems Engineering information for use in exceeding your customers expectations and securing your customers engagement?
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102. What disadvantage does this cause for the user?
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103. What would it cost to replace your technology?
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104. How frequently do you track Computer Systems Engineering measures?
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105. Why a Computer Systems Engineering focus?
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106. What are you verifying?
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107. How will your organization measure success?
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108. What measurements are being captured?
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109. What users will be impacted?
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110. How do you control the overall costs of your work processes?
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111. What are your key Computer Systems Engineering organizational performance measures, including key short and longer-term financial measures?
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112. 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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113. What are allowable costs?
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114. How do you prevent mis-estimating cost?
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115. How to cause the change?
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116. How do you verify if Computer Systems Engineering is built right?
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117. Do the benefits outweigh the costs?
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118. Among the Computer Systems Engineering product and service cost to be estimated, which is considered hardest to estimate?
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119. How do you focus on what is right -not who is right?
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120. What are predictive Computer Systems Engineering analytics?
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121. How can you measure the performance?
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122. What details are required of the Computer Systems Engineering cost structure?
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123. How can you reduce costs?
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124. Why do the measurements/indicators matter?
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125. What is your Computer Systems Engineering quality cost segregation study?
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126. How will measures be used to manage and adapt?
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