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verify Data philanthropy completeness and accuracy?

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      114. How do you quantify and qualify impacts?

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      115. How do you focus on what is right -not who is right?

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      116. How can you measure the performance?

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      117. Do you have a flow diagram of what happens?

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      118. What is the root cause(s) of the problem?

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      119. How do you control the overall costs of your work processes?

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      120. How to cause the change?

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      121. What methods are feasible and acceptable to estimate the impact of reforms?

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      122. What is the total cost related to deploying Data philanthropy, including any consulting or professional services?

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      123. Who should receive measurement reports?

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      124. Are the units of measure consistent?

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      125. Is a follow-up focused external Data philanthropy review required?

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      126. Did you tackle the cause or the symptom?

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      127. Have you included everything in your Data philanthropy cost models?

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      128. What are the strategic priorities for this year?

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      129. What would it cost to replace your technology?

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      130. Where can you go to verify the info?

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      131. What users will be impacted?

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      132. Are missed Data philanthropy opportunities costing your organization money?

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      133. How can you manage cost down?

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      134. Are there competing Data philanthropy priorities?

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      135. What are predictive Data philanthropy analytics?

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      136. Where is the cost?

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