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

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

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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?

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      35. Are missed Functional data analysis opportunities costing your organization money?

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      36. What evidence is there and what is measured?

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      37. How will effects be measured?

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      38. What are you verifying?

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      39. How sensitive must the Functional data analysis strategy be to cost?

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      40. Do you verify that corrective actions were taken?

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      41. What are your customers expectations and measures?

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      42. Where is it measured?

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      43. What are the estimated costs of proposed changes?

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      44. What are your primary costs, revenues, assets?

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      45. Does management have the right priorities among projects?

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      46. How is the value delivered by Functional data analysis being measured?

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      47. Do you effectively measure

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