Data Philanthropy A Complete Guide - 2020 Edition. Gerardus Blokdyk
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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 improvement team?
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128. What are the Roles and Responsibilities for each team member and its leadership? Where is this documented?
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129. Are all requirements met?
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130. Is the team adequately staffed with the desired cross-functionality? If not, what additional resources are available to the team?
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131. Is there regularly 100% attendance at the team meetings? If not, have appointed substitutes attended to preserve cross-functionality and full representation?
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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 #3: MEASURE:
INTENT: Gather the correct data. Measure the current performance and evolution of the situation.
In my belief, the answer to this question is clearly defined:
5 Strongly Agree
4 Agree
3 Neutral
2 Disagree
1 Strongly Disagree
1. Among the Data philanthropy product and service cost to be estimated, which is considered hardest to estimate?
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2. How will measures be used to manage and adapt?
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3. Are there any easy-to-implement alternatives to Data philanthropy? Sometimes other solutions are available that do not require the cost implications of a full-blown project?
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4. What happens if cost savings do not materialize?
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5. Do you have an issue in getting priority?
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6. Why do you expend time and effort to implement measurement, for whom?
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7. Are the Data philanthropy benefits worth its costs?
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8. How will success or failure be measured?
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9. Are there measurements based on task performance?
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10. What tests verify requirements?
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11. What are the Data philanthropy investment costs?
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12. How much does it cost?
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