Standard Data Model A Complete Guide - 2020 Edition. Gerardus Blokdyk

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СКАЧАТЬ How do your measurements capture actionable Standard data model information for use in exceeding your customers expectations and securing your customers engagement?

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      7. Are there measurements based on task performance?

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      8. Which costs should be taken into account?

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      9. Are there any easy-to-implement alternatives to Standard data model? Sometimes other solutions are available that do not require the cost implications of a full-blown project?

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      10. Are you able to realize any cost savings?

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      11. What are the current costs of the Standard data model process?

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      12. Do you have an issue in getting priority?

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      13. Are indirect costs charged to the Standard data model program?

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      14. What are the uncertainties surrounding estimates of impact?

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      15. How will you measure success?

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      16. How do you measure variability?

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      17. How to cause the change?

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      18. What measurements are possible, practicable and meaningful?

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      19. What is the cause of any Standard data model gaps?

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      20. What do people want to verify?

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      21. How will costs be allocated?

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      22. At what cost?

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      23. What would it cost to replace your technology?

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

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      25. What is the root cause(s) of the problem?

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      26. What is the cost of rework?

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      27. What is the total cost related to deploying Standard data model, including any consulting or professional services?

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      28. Is the solution cost-effective?

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      29. Are missed Standard data model opportunities costing your organization money?

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      30. What are the Standard data model investment costs?

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      31. What are the costs?

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      32. Are there competing Standard data model priorities?

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      33. How can you measure the performance?

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      34. When should you bother with diagrams?

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      35. What is your decision requirements diagram?

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      36. Have you made assumptions about the shape of the future, particularly its impact on your customers and competitors?

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      37. What are you verifying?

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      38. What causes extra work or rework?

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      39. What evidence is there and what is measured?

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      40. What are the estimated costs of proposed changes?

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      41. Does a Standard data model quantification method exist?

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      42. Do the benefits outweigh the costs?

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      43. How do you verify performance?

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      44. What could cause you to change course?

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      45. What are allowable costs?

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      46. Is the cost worth the Standard data model effort ?

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      47. How do you aggregate measures across priorities?

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      48. Does management have the right priorities among projects?

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      49. What tests verify requirements?

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      50. Which Standard data model impacts are significant?

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      51. Are the measurements objective?

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      52. What are the costs of delaying Standard data model action?

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      53. How do you control the overall costs of your work processes?

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