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

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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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      55. What are your needs in relation to Functional data analysis skills, labor, equipment, and markets?

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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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