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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