Data Philanthropy A Complete Guide - 2020 Edition. Gerardus Blokdyk

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СКАЧАТЬ 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 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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