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?