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132. What are the requirements for audit information?
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133. How do you manage scope?
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134. Is it clearly defined in and to your organization what you do?
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135. Has the Artificial Intelligence for IT Operations 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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136. How do you catch Artificial Intelligence for IT Operations definition inconsistencies?
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137. Has a team charter been developed and communicated?
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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 Artificial Intelligence for IT Operations Index at the beginning of the Self-Assessment.
CRITERION #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 performance?
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2. Is there an opportunity to verify requirements?
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3. What is the cause of any Artificial Intelligence for IT Operations gaps?
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4. Are the units of measure consistent?
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5. How do you control the overall costs of your work processes?
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6. Do you have a flow diagram of what happens?
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7. How do you measure lifecycle phases?
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8. What is your decision requirements diagram?
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9. What are the estimated costs of proposed changes?
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10. Are actual costs in line with budgeted costs?
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11. How will costs be allocated?
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12. What are your key Artificial Intelligence for IT Operations organizational performance measures, including key short and longer-term financial measures?
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13. Are the Artificial Intelligence for IT Operations benefits worth its costs?
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14. Where is it measured?
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15. Will Artificial Intelligence for IT Operations have an impact on current business continuity, disaster recovery processes and/or infrastructure?
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16. How do you aggregate measures across priorities?
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17. How can you reduce the costs of obtaining inputs?
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18. Are indirect costs charged to the Artificial Intelligence for IT Operations program?
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19. How do you verify the Artificial Intelligence for IT Operations requirements quality?
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20. What relevant entities could be measured?
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21. Which costs should be taken into account?
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22. What can be used to verify compliance?
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23. Do you aggressively reward and promote the people who have the biggest impact on creating excellent Artificial Intelligence for IT Operations services/products?
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24. How much does it cost?
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25. How are costs allocated?
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26. What are hidden Artificial Intelligence for IT Operations quality costs?
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27. Which Artificial Intelligence for IT Operations impacts are significant?
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28. Do the benefits outweigh the costs?
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29. What is the total fixed cost?
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30. How frequently do you track Artificial Intelligence for IT Operations measures?
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31. Are there competing Artificial Intelligence for IT Operations priorities?
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32. What do you measure and why?
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33. Does a Artificial Intelligence for IT Operations quantification method exist?
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