Читать книгу Revenue Analytics A Complete Guide - 2020 Edition - Gerardus Blokdyk - Страница 9
ОглавлениеCRITERION #3: MEASURE:
INTENT: Gather the correct data. Measure the current performance and evolution of the situation.
In my belief, the answer to this question is clearly defined:
5 Strongly Agree
4 Agree
3 Neutral
2 Disagree
1 Strongly Disagree
1. How do you verify your resources?
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2. Are you able to realize any cost savings?
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3. How is performance measured?
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4. Are missed Revenue Analytics opportunities costing your organization money?
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5. What are the costs?
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6. What is the cost of rework?
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7. How will effects be measured?
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8. What are the operational costs after Revenue Analytics deployment?
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9. What would it cost to replace your technology?
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10. What are the costs and benefits?
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11. What would be a real cause for concern?
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12. How can a Revenue Analytics test verify your ideas or assumptions?
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13. How do you quantify and qualify impacts?
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14. How do you verify performance?
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15. How do you verify and validate the Revenue Analytics data?
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16. How long to keep data and how to manage retention costs?
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17. Where is the cost?
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18. How will measures be used to manage and adapt?
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19. Are actual costs in line with budgeted costs?
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20. What could cause delays in the schedule?
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21. Are indirect costs charged to the Revenue Analytics program?
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22. Will Revenue Analytics have an impact on current business continuity, disaster recovery processes and/or infrastructure?
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23. When a disaster occurs, who gets priority?
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24. What is the root cause(s) of the problem?
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25. What causes investor action?
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26. What is the total cost related to deploying Revenue Analytics, including any consulting or professional services?
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27. Are you aware of what could cause a problem?
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28. What is an unallowable cost?
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29. How do you verify if Revenue Analytics is built right?
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30. What is the Revenue Analytics business impact?
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31. Do you have an issue in getting priority?
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32. What tests verify requirements?
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33. What are the current costs of the Revenue Analytics process?
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34. Are the units of measure consistent?
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35. What can be used to verify compliance?
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36. What causes mismanagement?
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37. Was a business case (cost/benefit) developed?
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38. Why do the measurements/indicators matter?
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39. Among the Revenue Analytics product and service cost to be estimated, which is considered hardest to estimate?
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40. What disadvantage does this cause for the user?
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41. What does losing customers cost your organization?
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42. What harm might be caused?
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43. What do you measure and why?
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44. Where is it measured?
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45. What are your primary costs, revenues, assets?
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46. Have design-to-cost goals been established?
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47. What methods are feasible and acceptable to estimate the impact of reforms?
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48. Is the cost worth the Revenue Analytics effort ?
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49. How are costs allocated?
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50. What are hidden Revenue Analytics quality costs?
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51. What measurements are possible, practicable and meaningful?
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52. Does management have the right priorities among projects?
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53. How do you measure success?
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54. Are you taking your company in the direction of better and revenue or cheaper and cost?
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55. What measurements are being captured?
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56. What does your operating model cost?
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57. What details are required of the Revenue Analytics cost structure?
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58. What are you verifying?
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59. Has a cost center been established?
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60. What are the costs of reform?
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61. How can you manage cost down?
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62. What are the estimated costs of proposed changes?
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63. What is measured? Why?
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64. What causes innovation to fail or succeed in your organization?
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65. What is your Revenue Analytics quality cost segregation study?
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66. Why do you expend time and effort to implement measurement, for whom?
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67. Are there measurements based on task performance?
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68. How will success or failure be measured?
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69. When are costs are incurred?
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70. How is progress measured?
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71. Do you aggressively reward and promote the people who have the biggest impact on creating excellent Revenue Analytics services/products?
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72. What is your decision requirements diagram?
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73. How do you verify and develop ideas and innovations?
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74. Are there any easy-to-implement alternatives to Revenue Analytics? Sometimes other solutions are available that do not require the cost implications of a full-blown project?
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75. What users will be impacted?
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76. Do you effectively measure and reward individual and team performance?
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77. How to cause the change?
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78. How sensitive must the Revenue Analytics strategy be to cost?
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79. What are allowable costs?
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80. 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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81. How do you measure variability?
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82. Does a Revenue Analytics quantification method exist?
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83. How much does it cost?
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84. Which Revenue Analytics impacts are significant?
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85. How do your measurements capture actionable Revenue Analytics information for use in exceeding your customers expectations and securing your customers engagement?
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86. How can you reduce costs?
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87. What are your operating costs?
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88. What do people want to verify?
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89. Have you included everything in your Revenue Analytics cost models?
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90. What does a Test Case verify?
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91. Are the measurements objective?
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92. What are the strategic priorities for this year?
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93. How can you measure Revenue Analytics in a systematic way?
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94. How will you measure success?
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95. How do you control the overall costs of your work processes?
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96. Is there an opportunity to verify requirements?
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97. What is the total fixed cost?
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98. Have you made assumptions about the shape of the future, particularly its impact on your customers and competitors?
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99. Which costs should be taken into account?
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100. What are the costs of delaying Revenue Analytics action?
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101. How will you measure your Revenue Analytics effectiveness?
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102. How will your organization measure success?
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103. How is the value delivered by Revenue Analytics being measured?
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104. How can you reduce the costs of obtaining inputs?
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105. What is the cause of any Revenue Analytics gaps?
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106. How do you aggregate measures across priorities?
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107. What are your customers expectations and measures?
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108. Do you have any cost Revenue Analytics limitation requirements?
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109. What relevant entities could be measured?
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110. How do you measure lifecycle phases?
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111. What are the Revenue Analytics investment costs?
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112. What could cause you to change course?
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113. Did you tackle the cause or the symptom?
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114. How can you measure the performance?
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115. What causes extra work or rework?
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116. How are measurements made?
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117. What potential environmental factors impact the Revenue Analytics effort?
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118. Are the Revenue Analytics benefits worth its costs?
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119. How do you verify the authenticity of the data and information used?
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120. What are the types and number of measures to use?
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121. What evidence is there and what is measured?
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122. Who should receive measurement reports?
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123. Who pays the cost?
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124. Are there competing Revenue Analytics priorities?
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125. Are supply costs steady or fluctuating?
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126. Are Revenue Analytics vulnerabilities categorized and prioritized?
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127. Does the Revenue Analytics task fit the client’s priorities?
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128. How will costs be allocated?
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129. What are the uncertainties surrounding estimates of impact?
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130. How do you verify the Revenue Analytics requirements quality?
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131. Do the benefits outweigh the costs?
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132. Do you have a flow diagram of what happens?
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Add up total points for this section: _____ = Total points for this section
Divided by: ______ (number of statements answered) = ______ Average score for this section
Transfer your score to the Revenue Analytics Index at the beginning of the Self-Assessment.
