LITMIR.BIZ

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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.

      CRITERION #2: DEFINE:

      INTENT: Formulate the stakeholder problem. Define the problem, needs and objectives.

      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 scope do you want your strategy to cover?

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      2. What Data philanthropy services do you require?

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      3. Has a Data philanthropy requirement not been met?

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      4. Has the Data philanthropy work been fairly and/or equitably divided and delegated among team members who are qualified and capable to perform the work? Has everyone contributed?

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      5. What baselines are required to be defined and managed?

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      6. What are the compelling stakeholder reasons for embarking on Data philanthropy?

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      7. What was the context?

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      8. How do you gather the stories?

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      9. Are approval levels defined for contracts and supplements to contracts?

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      10. Have the customer needs been translated into specific, measurable requirements? How?

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      11. What are the rough order estimates on cost savings/opportunities that Data philanthropy brings?

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      12.

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