Standard Data Model A Complete Guide - 2020 Edition. Gerardus Blokdyk

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Название Standard Data Model A Complete Guide - 2020 Edition
Автор произведения Gerardus Blokdyk
Жанр Зарубежная деловая литература
Серия
Издательство Зарубежная деловая литература
Год выпуска 0
isbn 9781867459378



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model quantification method exist?

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      42. Do the benefits outweigh the costs?

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      43. How do you verify performance?

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      44. What could cause you to change course?

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      45. What are allowable costs?

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      46. Is the cost worth the Standard data model effort ?

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      47. How do you aggregate measures across priorities?

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      48. Does management have the right priorities among projects?

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      49. What tests verify requirements?

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      50. Which Standard data model impacts are significant?

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      51. Are the measurements objective?

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      52. What are the costs of delaying Standard data model action?

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      53. How do you control the overall costs of your work processes?

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      54. When a disaster occurs, who gets priority?

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      55. Was a business case (cost/benefit) developed?

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      56. How will success or failure be measured?

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      57. What are hidden Standard data model quality costs?

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      58. When are costs are incurred?

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      59. How can you measure Standard data model in a systematic way?

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      60. Will Standard data model have an impact on current business continuity, disaster recovery processes and/or infrastructure?

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      61. What is an unallowable cost?

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      62. How is the value delivered by Standard data model being measured?

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      63. How can a Standard data model test verify your ideas or assumptions?

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      64. What are the strategic priorities for this year?

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      65. Why do the measurements/indicators matter?

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      66. How sensitive must the Standard data model strategy be to cost?

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      67. Are you aware of what could cause a problem?

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      68. How are measurements made?

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      69. How do you verify if Standard data model is built right?

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      70. Does the Standard data model task fit the client’s priorities?

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      71. Which measures and indicators matter?

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      72. Where is it measured?

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      73. How frequently do you track Standard data model measures?

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      74. How do you prevent mis-estimating cost?

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      75. How do you measure lifecycle phases?

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      76. Are Standard data model vulnerabilities categorized and prioritized?

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      77. Did you tackle the cause or the symptom?

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      78. Among the Standard data model product and service cost to be estimated, which is considered hardest to estimate?

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      79. What happens if cost savings do not materialize?

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      80. What does your operating model cost?

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      81. What are your operating costs?

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      82. What do you measure and why?

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      83. What potential environmental factors impact the Standard data model effort?

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      84. What can be used to verify compliance?

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      85. What are the types and number of measures to use?

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      86. What is the Standard data model business impact?

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      87. Do you aggressively reward and promote the people who have the biggest impact on creating excellent Standard data model services/products?

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      88. What causes innovation to fail or succeed in your organization?

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      89. Are you taking your company in the direction of better and revenue or cheaper and cost?

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      90. Are the Standard data model benefits worth its costs?

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      91. Do you have any cost Standard data model limitation requirements?

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      92. What is the total fixed cost?

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      93. What is your Standard data model quality cost segregation study?

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      94. What would be a real cause for concern?

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      95. How do you verify and develop ideas and innovations?

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      96. How can you reduce costs?

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      97. Who pays the cost?

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      98. How are costs allocated?

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      99. How is progress measured?

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      100. How much does it cost?

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      101. How will your organization measure success?

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      102. What are the costs of reform?

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      103. Have you included