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97. Do you have any cost Web data services limitation requirements?
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98. How do you quantify and qualify impacts?
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99. How do you measure efficient delivery of Web data services services?
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100. How do you verify the Web data services requirements quality?
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101. How can you measure Web data services in a systematic way?
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102. How do you aggregate measures across priorities?
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103. What could cause you to change course?
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104. Are the Web data services benefits worth its costs?
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105. How do you verify the authenticity of the data and information used?
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106. What is the cost of rework?
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107. Is the solution cost-effective?
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108. How is performance measured?
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109. Are you able to realize any cost savings?
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110. Are you taking your company in the direction of better and revenue or cheaper and cost?
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111. What would it cost to replace your technology?
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112. How are you verifying it?
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113. Who pays the cost?
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114. What details are required of the Web data services cost structure?
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115. Are missed Web data services opportunities costing your organization money?
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116. How do you focus on what is right -not who is right?
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117. How is progress measured?
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118. What causes investor action?
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119. How much does it cost?
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120. Who is involved in verifying compliance?
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121. What are the Web data services key cost drivers?
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122. What disadvantage does this cause for the user?
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123. Why do you expend time and effort to implement measurement, for whom?
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124. Do you aggressively reward and promote the people who have the biggest impact on creating excellent Web data services services/products?
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125. What is measured? Why?
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