Standard Data Model A Complete Guide - 2020 Edition. Gerardus Blokdyk
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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?
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