Название | Standard Data Model A Complete Guide - 2020 Edition |
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Автор произведения | Gerardus Blokdyk |
Жанр | Зарубежная деловая литература |
Серия | |
Издательство | Зарубежная деловая литература |
Год выпуска | 0 |
isbn | 9781867459378 |
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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. Is the Standard data model scope manageable?
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104. Has a team charter been developed and communicated?
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105. Who defines (or who defined) the rules and roles?
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106. Has your scope been defined?
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107. What was the context?
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108. The political context: who holds power?
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109. Have all basic functions of Standard data model been defined?
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110. What are (control) requirements for Standard data model Information?
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111. Are audit criteria, scope, frequency and methods defined?
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112. How was the ‘as is’ process map developed, reviewed, verified and validated?
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113. What Standard data model services do you require?
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114. Will team members perform Standard data model work when assigned and in a timely fashion?
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115. Do the problem and goal statements meet the SMART criteria (specific, measurable, attainable, relevant, and time-bound)?
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116. 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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117. How do you catch Standard data model definition inconsistencies?
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118. Will team members regularly document their Standard data model work?
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119. What are the compelling stakeholder reasons for embarking on Standard data model?
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120. Is Standard data model linked to key stakeholder goals and objectives?
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121. Are roles and responsibilities formally defined?
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122. How do you build the right business case?
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123. What baselines are required to be defined and managed?
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124.