Data Philanthropy A Complete Guide - 2020 Edition. Gerardus Blokdyk
improvement team?
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128. What are the Roles and Responsibilities for each team member and its leadership? Where is this documented?
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129. Are all requirements met?
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130. Is the team adequately staffed with the desired cross-functionality? If not, what additional resources are available to the team?
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131. Is there regularly 100% attendance at the team meetings? If not, have appointed substitutes attended to preserve cross-functionality and full representation?
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Add up total points for this section: _____ = Total points for this section
Divided by: ______ (number of statements answered) = ______ Average score for this section
Transfer your score to the Data philanthropy Index at the beginning of the Self-Assessment.
CRITERION #3: MEASURE:
INTENT: Gather the correct data. Measure the current performance and evolution of the situation.
In my belief, the answer to this question is clearly defined:
5 Strongly Agree
4 Agree
3 Neutral
2 Disagree
1 Strongly Disagree
1. Among the Data philanthropy product and service cost to be estimated, which is considered hardest to estimate?
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2. How will measures be used to manage and adapt?
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3. Are there any easy-to-implement alternatives to Data philanthropy? Sometimes other solutions are available that do not require the cost implications of a full-blown project?
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4. What happens if cost savings do not materialize?
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5. Do you have an issue in getting priority?
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6. Why do you expend time and effort to implement measurement, for whom?
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7. Are the Data philanthropy benefits worth its costs?
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8. How will success or failure be measured?
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9. Are there measurements based on task performance?
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10. What tests verify requirements?
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11. What are the Data philanthropy investment costs?
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12. How much does it cost?
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13. What are hidden Data philanthropy quality costs?
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14. Are you aware of what could cause a problem?
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15. Which measures and indicators matter?
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16. How can a Data philanthropy test verify your ideas or assumptions?
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17. Are you able to realize any cost savings?
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18. Is the cost worth the Data philanthropy effort ?
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19. How do you stay flexible and focused to recognize larger Data philanthropy results?
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20. How do you aggregate measures across priorities?
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21. Who pays the cost?
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22. What details are required of the Data philanthropy cost structure?
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23. Do you verify that corrective actions were taken?
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24. What causes mismanagement?
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25. Who is involved in verifying compliance?
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26. Are indirect costs charged to the Data philanthropy program?
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27. What do people want to verify?
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28. What measurements are possible, practicable and meaningful?
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29. What are the types and number of measures to use?
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30. Does the Data philanthropy task fit the client’s priorities?
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31. How will you measure success?
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32. How frequently do you track Data philanthropy measures?
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33. What do you measure and why?
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34. How do you measure variability?
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35. How can you reduce the costs of obtaining inputs?
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36. Are actual costs in line with budgeted costs?
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37. How will effects be measured?
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38. What are allowable costs?
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39. How do you prevent mis-estimating cost?
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40. What are your key Data philanthropy organizational performance measures, including key short and longer-term financial measures?
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41. What is the cost of rework?
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42. What are your customers expectations and measures?
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43. How will you measure your Data philanthropy effectiveness?
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44. Does a Data philanthropy quantification method exist?
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45. Will Data philanthropy have an impact on current business continuity, disaster recovery processes and/or infrastructure?
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46. What does your operating model cost?
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47. How can you measure Data philanthropy in a systematic way?
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48. What disadvantage does this cause for the user?
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49. What does a Test Case verify?