LITMIR.BIZ

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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

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