Data Philanthropy A Complete Guide - 2020 Edition. Gerardus Blokdyk
What do employees need in the short term?
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4. What is the problem and/or vulnerability?
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5. What else needs to be measured?
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6. Are your goals realistic? Do you need to redefine your problem? Perhaps the problem has changed or maybe you have reached your goal and need to set a new one?
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7. Who defines the rules in relation to any given issue?
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8. Looking at each person individually – does every one have the qualities which are needed to work in this group?
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9. Are there any revenue recognition issues?
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10. How are the Data philanthropy’s objectives aligned to the group’s overall stakeholder strategy?
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11. Are there any specific expectations or concerns about the Data philanthropy team, Data philanthropy itself?
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12. Is the quality assurance team identified?
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13. Is it clear when you think of the day ahead of you what activities and tasks you need to complete?
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14. Is it needed?
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15. What Data philanthropy problem should be solved?
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16. How do you recognize an objection?
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17. How do you take a forward-looking perspective in identifying Data philanthropy research related to market response and models?
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18. How do you identify subcontractor relationships?
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19. Where do you need to exercise leadership?
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20. Who needs to know about Data philanthropy?
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21. Who should resolve the Data philanthropy issues?
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22. For your Data philanthropy project, identify and describe the business environment, is there more than one layer to the business environment?
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23. Are controls defined to recognize and contain problems?
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24. How are you going to measure success?
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25. What does Data philanthropy success mean to the stakeholders?
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26. Who needs to know?
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27. What are your needs in relation to Data philanthropy skills, labor, equipment, and markets?
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28. How do you recognize an Data philanthropy objection?
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29. As a sponsor, customer or management, how important is it to meet goals, objectives?
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30. What Data philanthropy coordination do you need?
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31. What resources or support might you need?
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32. To what extent would your organization benefit from being recognized as a award recipient?
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33. Consider your own Data philanthropy project, what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?
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34. How many trainings, in total, are needed?
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35. Will it solve real problems?
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36. Who else hopes to benefit from it?
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37. What are the expected benefits of Data philanthropy to the stakeholder?
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38. Does Data philanthropy create potential expectations in other areas that need to be recognized and considered?
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39. Will new equipment/products be required to facilitate Data philanthropy delivery, for example is new software needed?
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40. Who needs what information?
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41. What activities does the governance board need to consider?
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42. What is the recognized need?
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43. Are there recognized Data philanthropy problems?
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44. Why the need?
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45. Are problem definition and motivation clearly presented?
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46. What situation(s) led to this Data philanthropy Self Assessment?
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47. How much are sponsors, customers, partners, stakeholders involved in Data philanthropy? In other words, what are the risks, if Data philanthropy does not deliver successfully?
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48. What is the problem or issue?
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49. Why is this needed?
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50. Do you have/need 24-hour access to key personnel?
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51. Which information does the Data philanthropy business case need to include?
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52. What are the clients issues and concerns?
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53. What information do users need?
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54. Who needs budgets?
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55. Are you dealing with any of the same issues today as yesterday? What can you do about this?
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56. What tools and technologies are needed for a custom Data philanthropy project?
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57. What Data philanthropy capabilities do you need?
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58. How does it fit into your organizational needs and tasks?
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59. Will a response program recognize when a crisis occurs and provide some level of response?
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