How are you going to measure success?
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3. How are training requirements identified?
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4. Have you identified your Standard data model key performance indicators?
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5. Are employees recognized for desired behaviors?
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6. What information do users need?
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7. Will it solve real problems?
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8. Which needs are not included or involved?
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9. What prevents you from making the changes you know will make you a more effective Standard data model leader?
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10. Which issues are too important to ignore?
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11. Where is training needed?
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12. What vendors make products that address the Standard data model needs?
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13. Consider your own Standard data model project, what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?
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14. How do you identify the kinds of information that you will need?
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15. What is the recognized need?
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16. Do you know what you need to know about Standard data model?
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17. Are there regulatory / compliance issues?
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18. What is the smallest subset of the problem you can usefully solve?
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19. What are your needs in relation to Standard data model skills, labor, equipment, and markets?
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20. For your Standard data model project, identify and describe the business environment, is there more than one layer to the business environment?
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21. 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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22. Does the problem have ethical dimensions?
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23. What is the extent or complexity of the Standard data model problem?
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24. Are problem definition and motivation clearly presented?
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25. How many trainings, in total, are needed?
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26. What creative shifts do you need to take?
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27. What situation(s) led to this Standard data model Self Assessment?
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28. Why is this needed?
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29. How are the Standard data model’s objectives aligned to the group’s overall stakeholder strategy?
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30. Are controls defined to recognize and contain problems?
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31. Is it needed?
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32. What are the expected benefits of Standard data model to the stakeholder?
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33. What needs to stay?
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34. What would happen if Standard data model weren’t done?
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35. Do you recognize Standard data model achievements?
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36. What does Standard data model success mean to the stakeholders?
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37. Does Standard data model create potential expectations in other areas that need to be recognized and considered?
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38. Are there recognized Standard data model problems?
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39. Is the quality assurance team identified?
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40. What should be considered when identifying available resources, constraints, and deadlines?
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41. Are losses recognized in a timely manner?
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42. What problems are you facing and how do you consider Standard data model will circumvent those obstacles?
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43. What Standard data model events should you attend?
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44. What are the stakeholder objectives to be achieved with Standard data model?
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45. Are there any specific expectations or concerns about the Standard data model team, Standard data model itself?
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46. As a sponsor, customer or management, how important is it to meet goals, objectives?
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47. Would you recognize a threat from the inside?
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48. What are the timeframes required to resolve each of the issues/problems?
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49. Who else hopes to benefit from it?
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50. What Standard data model problem should be solved?
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51. What do you need to start doing?
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52. What extra resources will you need?
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53. Who needs to know?
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54. How do you take a forward-looking perspective in identifying Standard data model research related to market response and models?
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55. Is it clear when you think of the day ahead of you what activities and tasks you need to complete?
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56. How does it fit into your organizational needs and tasks?
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57. What is the problem or issue?
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58. What Standard data model capabilities do you need?
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59. Who