Functional Data Analysis A Complete Guide - 2020 Edition. Gerardus Blokdyk

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      98. Who is gathering Functional data analysis information?

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

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      100. How would you define Functional data analysis leadership?

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      101. Have all of the relationships been defined properly?

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      102. What constraints exist that might impact the team?

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      103. How did the Functional data analysis manager receive input to the development of a Functional data analysis improvement plan and the estimated completion dates/times of each activity?

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      104. If substitutes have been appointed, have they been briefed on the Functional data analysis goals and received regular communications as to the progress to date?

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      105. Is Functional data analysis required?

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      106. Has the Functional data analysis work been fairly and/or equitably divided and delegated among team members who are qualified and capable to perform the work? Has everyone contributed?

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      107. What are the Functional data analysis use cases?

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      108. What is out of scope?

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      109. Has a Functional data analysis requirement not been met?

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      110. How was the ‘as is’ process map developed, reviewed, verified and validated?

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      111. What would be the goal or target for a Functional data analysis’s improvement team?

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      112. What key stakeholder process output measure(s) does Functional data analysis leverage and how?

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      113. Are approval levels defined for contracts and supplements to contracts?

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      114. How do you manage changes in Functional data analysis requirements?

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      115. Will team members regularly document their Functional data analysis work?

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      116. Why are you doing Functional data analysis and what is the scope?

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      117. How do you gather requirements?

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      118. How do you catch Functional data analysis definition inconsistencies?

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      119. Are roles and responsibilities formally defined?

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      120. Is Functional data analysis linked to key stakeholder goals and objectives?

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      121. Are the Functional data analysis requirements testable?

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      122. What knowledge or experience is required?

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      123. Are there any constraints known that bear on the ability to perform Functional data analysis work? How is the team addressing them?

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      124. Is the team equipped with available and reliable resources?

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      125. When is/was the Functional data analysis start date?

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      126. How do you manage unclear Functional data analysis requirements?

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      127. What is out-of-scope initially?

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      128. Are customer(s) identified and segmented according to their different needs and requirements?

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      129. What is in the scope and what is not in scope?

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      130. What is the scope of the Functional data analysis work?

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      131. Are task requirements clearly defined?

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

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      133. Do you have a Functional data analysis success story or case study ready to tell and share?

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

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      135. Who defines (or who defined) the rules and roles?

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      136. How do you hand over Functional data analysis context?

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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 #3: MEASURE:

      INTENT: Gather the correct data. Measure the current performance and evolution of the situation.

      In my belief, the answer to this question is clearly defined:

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