Standard Data Model A Complete Guide - 2020 Edition. Gerardus Blokdyk
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СКАЧАТЬ Is there a critical path to deliver Standard data model results?

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      59. Is Standard data model currently on schedule according to the plan?

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      60. What constraints exist that might impact the team?

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      61. Are different versions of process maps needed to account for the different types of inputs?

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      62. How did the Standard data model manager receive input to the development of a Standard data model improvement plan and the estimated completion dates/times of each activity?

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      63. When is the estimated completion date?

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      64. What is the definition of Standard data model excellence?

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      65. What defines best in class?

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      66. Has the direction changed at all during the course of Standard data model? If so, when did it change and why?

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      67. How often are the team meetings?

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      68. What are the requirements for audit information?

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      69. What are the Standard data model use cases?

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      70. Do you have organizational privacy requirements?

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      71. Where can you gather more information?

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      72. Is there a clear Standard data model case definition?

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      73. Is the current ‘as is’ process being followed? If not, what are the discrepancies?

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      74. What would be the goal or target for a Standard data model’s improvement team?

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      75. What is the scope of the Standard data model work?

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      76. Is the work to date meeting requirements?

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      77. Is special Standard data model user knowledge required?

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      78. Does the scope remain the same?

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      79. What key stakeholder process output measure(s) does Standard data model leverage and how?

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      80. What is the definition of success?

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      81. How do you manage scope?

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      82. What is the context?

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      83. What is the worst case scenario?

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      84. Is Standard data model required?

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      85. Have the customer needs been translated into specific, measurable requirements? How?

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      86. Has a high-level ‘as is’ process map been completed, verified and validated?

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      87. Has the improvement team collected the ‘voice of the customer’ (obtained feedback – qualitative and quantitative)?

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      88. How and when will the baselines be defined?

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      89. When are meeting minutes sent out? Who is on the distribution list?

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      90. What scope to assess?

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      91. What is a worst-case scenario for losses?

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      92. Do you have a Standard data model success story or case study ready to tell and share?

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      93. When is/was the Standard data model start date?

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      94. Who approved the Standard data model scope?

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      95. What intelligence can you gather?

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      96. How do you gather requirements?

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      97. What is out-of-scope initially?

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      98. What are the Standard data model tasks and definitions?

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      99. What customer feedback methods were used to solicit their input?

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      100. Who is gathering information?

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      101. Is there a Standard data model management charter, including stakeholder case, problem and goal statements, scope, milestones, roles and responsibilities, communication plan?

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      102. 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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      103. СКАЧАТЬ