Data Philanthropy A Complete Guide - 2020 Edition. Gerardus Blokdyk

verify Data philanthropy completeness and accuracy?

      <--- Score

      114. How do you quantify and qualify impacts?

      <--- Score

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

      <--- Score

      116. How can you measure the performance?

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

      120. How to cause the change?

      <--- Score

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

      <--- Score

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

      <--- Score

      123. Who should receive measurement reports?

      <--- Score

      124. Are the units of measure consistent?

      <--- Score

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

      <--- Score

      126. Did you tackle the cause or the symptom?

      <--- Score

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

      <--- Score

      128. What are the strategic priorities for this year?

      <--- Score

      129. What would it cost to replace your technology?

      <--- Score

      130. Where can you go to verify the info?

      <--- Score

      131. What users will be impacted?

      <--- Score

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

      <--- Score

      133. How can you manage cost down?

      <--- Score

      134. Are there competing Data philanthropy priorities?

      <--- Score

      135. What are predictive Data philanthropy analytics?

      <--- Score

      136. Where is the cost?