Data Philanthropy A Complete Guide - 2020 Edition. Gerardus Blokdyk
your scope been defined?
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13. Has everyone on the team, including the team leaders, been properly trained?
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14. Have specific policy objectives been defined?
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15. What is the worst case scenario?
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16. What information should you gather?
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17. Is special Data philanthropy user knowledge required?
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18. How can the value of Data philanthropy be defined?
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19. What scope to assess?
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20. How do you catch Data philanthropy definition inconsistencies?
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21. Has a team charter been developed and communicated?
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22. How have you defined all Data philanthropy requirements first?
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23. What specifically is the problem? Where does it occur? When does it occur? What is its extent?
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24. What are the requirements for audit information?
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25. Will a Data philanthropy production readiness review be required?
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26. Are there different segments of customers?
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27. Are required metrics defined, what are they?
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28. Are the Data philanthropy requirements testable?
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29. When is/was the Data philanthropy start date?
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30. What is out of scope?
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31. When is the estimated completion date?
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32. How do you manage scope?
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33. Is the improvement team aware of the different versions of a process: what they think it is vs. what it actually is vs. what it should be vs. what it could be?
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34. What is the context?
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35. Is there a critical path to deliver Data philanthropy results?
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36. What is in the scope and what is not in scope?
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37. How often are the team meetings?
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38. Do you have a Data philanthropy success story or case study ready to tell and share?
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39. When are meeting minutes sent out? Who is on the distribution list?
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40. Is the scope of Data philanthropy defined?
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41. What is the definition of Data philanthropy excellence?
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42. Who are the Data philanthropy improvement team members, including Management Leads and Coaches?
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43. Scope of sensitive information?
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44. Is Data philanthropy required?
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45. What intelligence can you gather?
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46. Is the work to date meeting requirements?
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47. How do you keep key subject matter experts in the loop?
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48. What is the scope of the Data philanthropy effort?
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49. How does the Data philanthropy manager ensure against scope creep?
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50. Who is gathering information?
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51. What critical content must be communicated – who, what, when, where, and how?
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52. How would you define the culture at your organization, how susceptible is it to Data philanthropy changes?
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53. What Data philanthropy requirements should be gathered?
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54. Is Data philanthropy currently on schedule according to the plan?
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55. Why are you doing Data philanthropy and what is the scope?
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56. Has/have the customer(s) been identified?
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57. Is there any additional Data philanthropy definition of success?
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58. Do you all define Data philanthropy in the same way?
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59. Has the improvement team collected the ‘voice of the customer’ (obtained feedback – qualitative and quantitative)?
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60. Who approved the Data philanthropy scope?
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61. How will variation in the actual durations 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?