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?