Название: Knowledge Database A Complete Guide - 2020 Edition
Автор: Gerardus Blokdyk
Издательство: Ingram
Жанр: Зарубежная деловая литература
isbn: 9781867457374
isbn:
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8. How will costs be allocated?
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9. How do you verify and develop ideas and innovations?
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10. Do you have a flow diagram of what happens?
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11. Is it possible to estimate the impact of unanticipated complexity such as wrong or failed assumptions, feedback, etcetera on proposed reforms?
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12. Where is it measured?
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13. What could cause delays in the schedule?
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14. Do you have an issue in getting priority?
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15. How can you reduce the costs of obtaining inputs?
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16. What relevant entities could be measured?
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17. What is the cause of any Knowledge database gaps?
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18. How to cause the change?
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19. Why do the measurements/indicators matter?
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20. Is the solution cost-effective?
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21. Why do you expend time and effort to implement measurement, for whom?
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22. Who should receive measurement reports?
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23. What are the costs of reform?
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24. How will you measure success?
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25. What are the current costs of the Knowledge database process?
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26. What is your decision requirements diagram?
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27. What are hidden Knowledge database quality costs?
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28. What is the Knowledge database business impact?
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29. How will effects be measured?
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30. What does a Test Case verify?
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31. How is the value delivered by Knowledge database being measured?
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32. Are there measurements based on task performance?
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33. Has a cost center been established?
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34. What are you verifying?
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35. What is the cost of rework?
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36. What would it cost to replace your technology?
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37. What do you measure and why?
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38. Are supply costs steady or fluctuating?
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39. What is the total cost related to deploying Knowledge database, including any consulting or professional services?
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40. How sensitive must the Knowledge database strategy be to cost?
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41. What potential environmental factors impact the Knowledge database effort?
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42. When a disaster occurs, who gets priority?
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43. Do you effectively measure and reward individual and team performance?
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44. What harm might be caused?
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45. How long to keep data and how to manage retention costs?
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46. What measurements are possible, practicable and meaningful?
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47. What is the root cause(s) of the problem?
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48. Is the cost worth the Knowledge database effort ?
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49. How will you measure your Knowledge database effectiveness?
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50. How do you verify if Knowledge database is built right?
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51. Did you tackle the cause or the symptom?
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52. Will Knowledge database have an impact on current business continuity, disaster recovery processes and/or infrastructure?
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53. How do you verify performance?
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54. Does management have the right priorities among projects?
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