Читать книгу Data Philanthropy A Complete Guide - 2020 Edition - Gerardus Blokdyk - Страница 7
ОглавлениеCRITERION #1: RECOGNIZE
INTENT: Be aware of the need for change. Recognize that there is an unfavorable variation, problem or symptom.
In my belief, the answer to this question is clearly defined:
5 Strongly Agree
4 Agree
3 Neutral
2 Disagree
1 Strongly Disagree
1. What are the minority interests and what amount of minority interests can be recognized?
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2. Would you recognize a threat from the inside?
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3. 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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60. What problems are you facing and how do you consider Data philanthropy will circumvent those obstacles?
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61. Do you recognize Data philanthropy achievements?
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62. What extra resources will you need?
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63. Think about the people you identified for your Data philanthropy project and the project responsibilities you would assign to them, what kind of training do you think they would need to perform these responsibilities effectively?
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64. What creative shifts do you need to take?
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65. Do you need different information or graphics?
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66. Does the problem have ethical dimensions?
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67. What would happen if Data philanthropy weren’t done?
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68. Who are your key stakeholders who need to sign off?
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69. Do you know what you need to know about Data philanthropy?
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70. Where is training needed?
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71. Are employees recognized or rewarded for performance that demonstrates the highest levels of integrity?
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72. Can management personnel recognize the monetary benefit of Data philanthropy?
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73. What are the stakeholder objectives to be achieved with Data philanthropy?
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74. What are the timeframes required to resolve each of the issues/problems?
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75. Is the need for organizational change recognized?
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76. Does your organization need more Data philanthropy education?
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77. What is the smallest subset of the problem you can usefully solve?
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78. What training and capacity building actions are needed to implement proposed reforms?
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79. Are employees recognized for desired behaviors?
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80. What should be considered when identifying available resources, constraints, and deadlines?
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81. To what extent does each concerned units management team recognize Data philanthropy as an effective investment?
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82. What is the Data philanthropy problem definition? What do you need to resolve?
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83. What are the Data philanthropy resources needed?
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84. Do you need to avoid or amend any Data philanthropy activities?
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85. How are training requirements identified?
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86. Whom do you really need or want to serve?
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87. Will Data philanthropy deliverables need to be tested and, if so, by whom?
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88. Are there Data philanthropy problems defined?
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89. What needs to stay?
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90. Which issues are too important to ignore?
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91. Are there regulatory / compliance issues?
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92. When a Data philanthropy manager recognizes a problem, what options are available?
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93. Which needs are not included or involved?
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94. What do you need to start doing?
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95. Have you identified your Data philanthropy key performance indicators?
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96. Are losses recognized in a timely manner?
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97. What vendors make products that address the Data philanthropy needs?
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98. How do you assess your Data philanthropy workforce capability and capacity needs, including skills, competencies, and staffing levels?
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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.
