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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?
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50. How will your organization measure success?
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51. Is there an opportunity to verify requirements?
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52. Are the measurements objective?
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53. How are costs allocated?
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54. What are the costs of delaying Data philanthropy action?
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55. How do you verify and develop ideas and innovations?
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56. What potential environmental factors impact the Data philanthropy effort?
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57. What does losing customers cost your organization?
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58. How frequently do you verify your Data philanthropy strategy?
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59. How sensitive must the Data philanthropy strategy be to cost?
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60.
