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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.
CRITERION #4: ANALYZE:
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