Data Philanthropy A Complete Guide - 2020 Edition. Gerardus Blokdyk
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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 tasks and definitions?
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106. The political context: who holds power?
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107. Who is gathering Data philanthropy information?
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108. Who defines (or who defined) the rules and roles?
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109. Is the Data philanthropy scope complete and appropriately sized?
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110. What are the core elements of the Data philanthropy business case?
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111. Is it clearly defined in and to your organization what you do?
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112. What defines best in class?
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113. Are task requirements clearly defined?
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114. Have all of the relationships been defined properly?
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115. What are the boundaries of the scope? What is in bounds and what is not? What is the start point? What is the stop point?
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116. If substitutes have been appointed, have they been briefed on the Data philanthropy goals and received regular communications as to the progress to date?
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117. What information do you gather?
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118. Are resources adequate for the scope?
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119. How will the Data philanthropy team and the group measure complete success of Data philanthropy?
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120. What are (control) requirements for Data philanthropy Information?
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121. What constraints exist that might impact the team?
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122. Does the scope remain the same?
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123. Is Data philanthropy linked to key stakeholder goals and objectives?
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124. What are the dynamics of the communication plan?
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125. How do you think the partners involved in Data philanthropy would have defined success?
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126. How are consistent Data philanthropy definitions important?
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127. What would be the goal or target for a Data philanthropy’s