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      20. Is the Master Data Services scope complete and appropriately sized?

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      21. Are team charters developed?

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      22. How often are the team meetings?

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      23. How was the ‘as is’ process map developed, reviewed, verified and validated?

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      24. What are the compelling stakeholder reasons for embarking on Master Data Services?

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      25. Is the work to date meeting requirements?

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      26. Is there a Master Data Services management charter, including stakeholder case, problem and goal statements, scope, milestones, roles and responsibilities, communication plan?

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      27. Have all of the relationships been defined properly?

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      28. What are the dynamics of the communication plan?

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      29. Who are the Master Data Services improvement team members, including Management Leads and Coaches?

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      30. Are required metrics defined, what are they?

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      31. Scope of sensitive information?

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      32. Is there a completed, verified, and validated high-level ‘as is’ (not ‘should be’ or ‘could be’) stakeholder process map?

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      33. Has a project plan, Gantt chart, or similar been developed/completed?

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      34. What defines best in class?

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      35. Are additional no requirements or clarity of requirements necessary?

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      36. Have specific policy objectives been defined?

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      37. What are requirements for systems?

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      38. Does function perform as designed according to requirements?

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      39. Has/have the customer(s) been identified?

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      40. Is there a critical path to deliver Master Data Services results?

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      41. Who defines (or who defined) the rules and roles?

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      42. Has the improvement team collected the ‘voice of the customer’ (obtained feedback – qualitative and quantitative)?

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      43. What critical content must be communicated – who, what, when, where, and how?

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      44. How do you hand over Master Data Services context?

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      45. How do you manage changes in Master Data Services requirements?

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      46. When are meeting minutes sent out? Who is on the distribution list?

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      47. Is it clearly defined in and to your organization what you do?

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      48. How would you define Master Data Services leadership?

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      49. How much governance is required based on domains and use cases?

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      50. How do you gather Master Data Services requirements?

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      51. Who is gathering Master Data Services information?

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      52. Is Master Data Services currently on schedule according to the plan?

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      53. What scope to assess?

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      54. What gets examined?

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      55. Are accountability and ownership for Master Data Services clearly defined?

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      56. Have all basic functions of Master Data Services been defined?

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      57. How do you build the right business case?

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      58. Are customers identified and high impact areas defined?

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      59. What would be the goal or target for a Master Data Services’s improvement team?

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      60. Is there regularly 100% attendance at the team meetings? If not, have appointed substitutes attended to preserve cross-functionality and full representation?

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      61. What are the requirements for audit information?

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      62. What is in scope?

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      63. What sources do you use to gather information for a Master Data Services study?

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      64. Is the team equipped with available and reliable resources?

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      65. When is the estimated completion date?

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      66. Are all requirements met?

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      67. Is the improvement team aware of the different versions of a process: what they think it is vs. what it actually is vs. what it should be vs. what it could be?

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      68. Has the Master Data Services work been fairly and/or equitably divided and delegated among team members who are qualified and capable to perform the work? Has everyone contributed?

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      69. What information do you gather?

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      70. The political context: who holds power?

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      71. Are different versions of process maps needed to account for the different types of inputs?

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      72. Are resources adequate for the scope?

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      73. Has anyone else (internal or external to the group) attempted to solve this problem or a similar one before? If so, what knowledge can be leveraged from these previous efforts?

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      74. What are your hardware and software requirements?

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      75. Is the Master Data Services scope manageable?

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