Data Philanthropy A Complete Guide - 2020 Edition. Gerardus Blokdyk

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СКАЧАТЬ of each activity be dealt with to ensure that the expected Data philanthropy results are met?

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      62. Are accountability and ownership for Data philanthropy clearly defined?

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      63. How is the team tracking and documenting its work?

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      64. How do you manage changes in Data philanthropy requirements?

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      65. What happens if Data philanthropy’s scope changes?

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      66. Is the Data philanthropy scope manageable?

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      67. How do you gather Data philanthropy requirements?

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      68. What are the Data philanthropy use cases?

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      69. Does the team have regular meetings?

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      70. What is a worst-case scenario for losses?

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      71. How was the ‘as is’ process map developed, reviewed, verified and validated?

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      72. What key stakeholder process output measure(s) does Data philanthropy leverage and how?

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      73. What is out-of-scope initially?

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      74. Are different versions of process maps needed to account for the different types of inputs?

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      75. Do you have organizational privacy requirements?

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      76. Are there any constraints known that bear on the ability to perform Data philanthropy work? How is the team addressing them?

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      77. Is scope creep really all bad news?

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      78. How and when will the baselines be defined?

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      79. Do the problem and goal statements meet the SMART criteria (specific, measurable, attainable, relevant, and time-bound)?

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      80. What is in scope?

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      81. How did the Data philanthropy manager receive input to the development of a Data philanthropy improvement plan and the estimated completion dates/times of each activity?

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      82. How do you manage unclear Data philanthropy requirements?

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      83. Has a project plan, Gantt chart, or similar been developed/completed?

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      84. What are the tasks and definitions?

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      85. Has a high-level ‘as is’ process map been completed, verified and validated?

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      86. How would you define Data philanthropy leadership?

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      87. What system do you use for gathering Data philanthropy information?

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      88. What sources do you use to gather information for a Data philanthropy study?

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      89. Are roles and responsibilities formally defined?

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      90. What is the scope of the Data philanthropy work?

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      91. How do you gather requirements?

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      92. Has anyone else (internal or external to the group) attempted to solve this problem or a similar one before? If so, what knowledge can be leveraged from these previous efforts?

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      93. Is there a clear Data philanthropy case definition?

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      94. Have all basic functions of Data philanthropy been defined?

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      95. What gets examined?

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      96. What sort of initial information to gather?

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      97. Is the current ‘as is’ process being followed? If not, what are the discrepancies?

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      98. Is there a completed SIPOC representation, describing the Suppliers, Inputs, Process, Outputs, and Customers?

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      99. How do you build the right business case?

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      100. Are the Data philanthropy requirements complete?

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      101. What are the record-keeping requirements of Data philanthropy activities?

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      102. Has the direction changed at all during the course of Data philanthropy? If so, when did it change and why?

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      103. How do you hand over Data philanthropy context?

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      104. What customer feedback methods were used to solicit their input?

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      105. What are the Data philanthropy СКАЧАТЬ