Decision Support Software A Complete Guide - 2020 Edition. Gerardus Blokdyk
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Transfer your score to the Decision support software 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. Are you aware of what could cause a problem?
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2. What are the costs?
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3. What does your operating model cost?
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4. How do you verify if Decision support software is built right?
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5. When a disaster occurs, who gets priority?
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6. What measurements are being captured?
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7. How will effects be measured?
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8. Is the solution cost-effective?
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9. When should you bother with diagrams?
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10. How to cause the change?
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11. What disadvantage does this cause for the user?
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12. What could cause delays in the schedule?
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13. Does the Decision support software task fit the client’s priorities?
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14. What is the cause of any Decision support software gaps?
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15. How do you verify your resources?
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16. What are you verifying?
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17. How will you measure success?
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18. What could cause you to change course?
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19. How can you manage cost down?
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20. What tests verify requirements?
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21. What are the estimated costs of proposed changes?
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22. How do you stay flexible and focused to recognize larger Decision support software results?
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23. How long to keep data and how to manage retention costs?
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24. Does a Decision support software quantification method exist?
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25. Are there competing Decision support software priorities?
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26. How do you verify and validate the Decision support software data?
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27. What do you measure and why?
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28. Why do you expend time and effort to implement measurement, for whom?
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29. Do you have any cost Decision support software limitation requirements?
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30. Are you able to realize any cost savings?
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31. What are hidden Decision support software quality costs?
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32. At what cost?
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33. Why a Decision support software focus?
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34. How do you verify the authenticity of the data and information used?
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35. Do you effectively measure and reward individual and team performance?
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36. How are measurements made?
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37. What do people want to verify?
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38. Are you taking your company in the direction of better and revenue or cheaper and cost?
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39. Are the measurements objective?
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40. How do you measure success?
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41. How much does it cost?
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42. How will success or failure be measured?
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43. How is progress measured?
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44. What harm might be caused?
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