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

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      3 Neutral

      2 Disagree

      1 Strongly Disagree

      1. Who should resolve the Functional data analysis issues?

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      2. What else needs to be measured?

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      3. What should be considered when identifying available resources, constraints, and deadlines?

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      4. To what extent would your organization benefit from being recognized as a award recipient?

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      5. What does Functional data analysis success mean to the stakeholders?

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      6. What Functional data analysis capabilities do you need?

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      7. What is the extent or complexity of the Functional data analysis problem?

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      8. Do you have/need 24-hour access to key personnel?

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      9. Are employees recognized or rewarded for performance that demonstrates the highest levels of integrity?

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      10. Are problem definition and motivation clearly presented?

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      11. Would you recognize a threat from the inside?

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      12. Who defines the rules in relation to any given issue?

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      13. What are the minority interests and what amount of minority interests can be recognized?

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      14. What would happen if Functional data analysis weren’t done?

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      15. How are you going to measure success?

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      16. Are you dealing with any of the same issues today as yesterday? What can you do about this?

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      17. Do you need different information or graphics?

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      18. Whom do you really need or want to serve?

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      19. To what extent does each concerned units management team recognize Functional data analysis as an effective investment?

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      20. What do employees need in the short term?

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      21. Does Functional data analysis create potential expectations in other areas that need to be recognized and considered?

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      22. Who else hopes to benefit from it?

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      23. For your Functional data analysis project, identify and describe the business environment, is there more than one layer to the business environment?

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      24. How are the Functional data analysis’s objectives aligned to the group’s overall stakeholder strategy?

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      25. Is the quality assurance team identified?

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      26. What resources or support might you need?

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      27. What activities does the governance board need to consider?

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      28. Is the need for organizational change recognized?

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      29. Did you miss any major Functional data analysis issues?

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      30. Are employees recognized for desired behaviors?

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      31. How do you recognize an objection?

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      32. How many trainings, in total, are needed?

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      33. What extra resources will you need?

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      34. What are the expected benefits of Functional data analysis to the stakeholder?

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      35. How do you recognize an Functional data analysis objection?

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      36. Are controls defined to recognize and contain problems?

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      37. Who needs what information?

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      38. As a sponsor, customer or management, how important is it to meet goals, objectives?

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      39. What creative shifts do you need to take?

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      40. What is the problem or issue?

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      41. Are your goals realistic? Do you need to redefine your problem? Perhaps the problem has changed or maybe you have reached your goal and need to set a new one?

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      42. What are the clients issues and concerns?

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      43. What prevents you from making the changes you know will make you a more effective Functional data analysis leader?

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      44. Why the need?

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      45. Are there any specific expectations or concerns about the Functional data analysis team, Functional data analysis itself?

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      46. How are training requirements identified?

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      47. Will Functional data analysis deliverables need to be tested and, if so, by whom?

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      48. How do you identify the kinds of information that you will need?

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      49. How do you identify subcontractor relationships?

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      50. What tools and technologies are needed for a custom Functional data analysis project?

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      51. Are there any revenue recognition issues?

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      52. How do you assess your Functional data analysis workforce capability and capacity needs, including skills, competencies, and staffing levels?

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      53. What training and capacity building actions are needed to implement proposed reforms?

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      54. How much are sponsors, customers, partners, stakeholders involved in Functional data analysis? In other words, what are the risks, if Functional data analysis does not deliver successfully?

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