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Functional Data Analysis A Complete Guide - 2020 Edition. Gerardus Blokdyk
Читать онлайн.Название Functional Data Analysis A Complete Guide - 2020 Edition
Год выпуска 0
isbn 9781867459897
Автор произведения Gerardus Blokdyk
Жанр Зарубежная деловая литература
Издательство Ingram
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56. Does your organization need more Functional data analysis education?
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57. Think about the people you identified for your Functional data analysis project and the project responsibilities you would assign to them, what kind of training do you think they would need to perform these responsibilities effectively?
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58. Does the problem have ethical dimensions?
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59. What vendors make products that address the Functional data analysis needs?
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60. What needs to stay?
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61. Where is training needed?
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62. Looking at each person individually – does every one have the qualities which are needed to work in this group?
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63. What are the Functional data analysis resources needed?
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64. What is the recognized need?
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65. What do you need to start doing?
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66. Do you need to avoid or amend any Functional data analysis activities?
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67. What Functional data analysis events should you attend?
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68. How do you take a forward-looking perspective in identifying Functional data analysis research related to market response and models?
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69. Are there regulatory / compliance issues?
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70. Will it solve real problems?
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71. How does it fit into your organizational needs and tasks?
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72. Which information does the Functional data analysis business case need to include?
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73. Will a response program recognize when a crisis occurs and provide some level of response?
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74. Can management personnel recognize the monetary benefit of Functional data analysis?
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75. Will new equipment/products be required to facilitate Functional data analysis delivery, for example is new software needed?
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76. Is it needed?
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77. Who needs budgets?
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78. Consider your own Functional data analysis project, what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?
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79. What is the smallest subset of the problem you can usefully solve?
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80. Is it clear when you think of the day ahead of you what activities and tasks you need to complete?
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81. Do you recognize Functional data analysis achievements?
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82. Who are your key stakeholders who need to sign off?
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83. Do you know what you need to know about Functional data analysis?
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84. Are there recognized Functional data analysis problems?
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85. When a Functional data analysis manager recognizes a problem, what options are available?
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86. What are the timeframes required to resolve each of the issues/problems?
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87. What needs to be done?
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88. What is the problem and/or vulnerability?
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89. Why is this needed?
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90. What situation(s) led to this Functional data analysis Self Assessment?
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91. Are losses recognized in a timely manner?
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92. What Functional data analysis problem should be solved?
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93. What is the Functional data analysis problem definition? What do you need to resolve?
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94. Who needs to know about Functional data analysis?
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95. What problems are you facing and how do you consider Functional data analysis will circumvent those obstacles?
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96. Who needs to know?
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97. How can auditing be a preventative security measure?
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98. Have you identified your Functional data analysis key performance indicators?
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99. What are the stakeholder objectives to be achieved with Functional data analysis?
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Add up total points for this section: _____ = Total points for this section
Divided by: ______ (number of statements answered) = ______ Average score for this section
Transfer your score to the Functional data analysis Index at the beginning of the Self-Assessment.
CRITERION #2: DEFINE:
INTENT: Formulate the stakeholder problem. Define the problem, needs and objectives.
In my belief, the answer to this question is clearly defined:
5 Strongly Agree
4 Agree
3 Neutral
2 Disagree
1 Strongly Disagree
1. Are audit criteria, scope, frequency and methods defined?
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2. Has the direction changed at all during the course of Functional data analysis? If so, when did it change and why?
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3. Has a team charter been developed and communicated?
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4. Scope of sensitive information?
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5. How does the Functional data analysis manager ensure against scope creep?
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