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

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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:

      5 Strongly Agree

      4 Agree

      3 Neutral

      2 Disagree

      1 Strongly Disagree

      1. What does losing customers cost your organization?

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      2. How is performance measured?

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      3. Who pays the cost?

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      4. Which Functional data analysis impacts are significant?

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      5. What users will be impacted?

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      6. Are there measurements based on task performance?

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      7. Do you have an issue in getting priority?

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      8. How do you verify your resources?

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      9. What is your decision requirements diagram?

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      10. What are the Functional data analysis key cost drivers?

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      11. How can you manage cost down?

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      12. What could cause you to change course?

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      13. What measurements are being captured?

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      14. Which measures and indicators matter?

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      15. What are the operational costs after Functional data analysis deployment?

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      16. Which costs should be taken into account?

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

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      18. How can a Functional data analysis test verify your ideas or assumptions?

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      19. What causes investor action?

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      20. What is an unallowable cost?

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      21. What are your operating costs?

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      22. How will your organization measure success?

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      23. Are there competing Functional data analysis priorities?

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      24. What does a Test Case verify?

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      25. What do you measure and why?

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      26. How do you quantify and qualify impacts?

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      27. Among the Functional data analysis product and service cost to be estimated, which is considered hardest to estimate?

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

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      29. How can you measure Functional data analysis in a systematic way?

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      30. How will you measure your Functional data analysis effectiveness?

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      31. How do you measure variability?

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      32. Are the units of measure consistent?

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      33. What can be used to verify compliance?

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      34. Did you tackle the cause or the symptom?