What relevant entities could be measured?
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110. How is performance measured?
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111. How do you verify your resources?
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112. What measurements are being captured?
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113. How do you 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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