Revenue Analytics A Complete Guide - 2020 Edition. Gerardus Blokdyk
of the customer’ (obtained feedback – qualitative and quantitative)?
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13. Is Revenue Analytics linked to key stakeholder goals and objectives?
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14. Who is gathering information?
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15. Scope of sensitive information?
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16. Does the scope remain the same?
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17. What are the Revenue Analytics tasks and definitions?
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18. Is it clearly defined in and to your organization what you do?
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19. What is the definition of Revenue Analytics excellence?
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20. What is the scope of the Revenue Analytics effort?
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21. What constraints exist that might impact the team?
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22. What is the scope of the Revenue Analytics work?
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23. What are the Revenue Analytics use cases?
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24. Who defines (or who defined) the rules and roles?
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25. What was the context?
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26. Who approved the Revenue Analytics scope?
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27. What is in the scope and what is not in scope?
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28. Do you all define Revenue Analytics in the same way?
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29. Why are you doing Revenue Analytics and what is the scope?
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30. Has a team charter been developed and communicated?
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31. What is in scope?
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32. Are there different segments of customers?
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33. Is the current ‘as is’ process being followed? If not, what are the discrepancies?
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34. How are consistent Revenue Analytics definitions important?
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35. Have the customer needs been translated into specific, measurable requirements? How?
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36. How do you gather the stories?
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37. Is the team adequately staffed with the desired cross-functionality? If not, what additional resources are available to the team?
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38. How do you think the partners involved in Revenue Analytics would have defined success?
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39. 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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40. How have you defined all Revenue Analytics requirements first?
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41. What are the record-keeping requirements of Revenue Analytics activities?
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42. How do you build the right business case?
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43. What is out-of-scope initially?
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44. What sort of initial information to gather?
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45. When is the estimated completion date?
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46. Has a Revenue Analytics requirement not been met?
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47. How is the team tracking and documenting its work?
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48. What information should you gather?
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49. How does the Revenue Analytics manager ensure against scope creep?
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50. What are the Roles and Responsibilities for each team member and its leadership? Where is this documented?
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51. Is the Revenue Analytics scope manageable?
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52. How often are the team meetings?
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53. Is the work to date meeting requirements?
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54. Is the scope of Revenue Analytics defined?
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55. What would be the goal or target for a Revenue Analytics’s improvement team?
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56. Are the Revenue Analytics requirements testable?
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57. What are the core elements of the Revenue Analytics business case?
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58. How would you define the culture at your organization, how susceptible is it to Revenue Analytics changes?
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59. What intelligence can you gather?
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60. What knowledge or experience is required?
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61. Are there any constraints known that bear on the ability to perform Revenue Analytics work? How is the team addressing them?
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62. What is out of scope?
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63. Is there a critical path to deliver Revenue Analytics results?
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64. If substitutes have been appointed, have they been briefed on the Revenue Analytics goals and received regular communications as to the progress to date?
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65. Has a high-level ‘as is’ process map been completed, verified and validated?
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66. How can the value of Revenue Analytics be defined?
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67. Is Revenue Analytics required?
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68. Where can you gather more information?
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69. How will variation in the actual durations of each activity be dealt with to ensure that the expected Revenue Analytics results are met?
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70. What gets