Strongly Disagree
1. How are measurements made?
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2. Why do the measurements/indicators matter?
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3. What is your Web data services quality cost segregation study?
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4. What are your primary costs, revenues, assets?
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5. When a disaster occurs, who gets priority?
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6. What harm might be caused?
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7. Which Web data services impacts are significant?
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8. What are the operational costs after Web data services deployment?
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9. Does the Web data services task fit the client’s priorities?
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10. What does your operating model cost?
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11. Are you aware of what could cause a problem?
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12. Is the cost worth the Web data services effort ?
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13. What is the root cause(s) of the problem?
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14. Who should receive measurement reports?
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15. What users will be impacted?
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16. What drives O&M cost?
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17. Do the benefits outweigh the costs?
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18. Was a business case (cost/benefit) developed?
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19. Will Web data services have an impact on current business continuity, disaster recovery processes and/or infrastructure?
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20. What is your decision requirements diagram?
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21. How do you verify if Web data services is built right?
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22. What are the costs and benefits?
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23. How frequently do you verify your Web data services strategy?
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24. The approach of traditional Web data services works for detail complexity but is focused on a systematic approach rather than an understanding of the nature of systems themselves, what approach will permit your organization to deal with the kind of unpredictable emergent behaviors that dynamic complexity can introduce?
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25. What are hidden Web data services quality costs?
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26. Do you effectively measure and reward individual and team performance?
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27. What are the costs of reform?
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28. What are the strategic priorities for this year?
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29. How do you measure variability?
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30. What is the total cost related to deploying Web data services, including any consulting or professional services?
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31. Do you have a flow diagram of what happens?
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32. Did you tackle the cause or the symptom?
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33. What methods are feasible and acceptable to estimate the impact of reforms?
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34. Why a Web data services focus?
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35. What causes extra work or rework?
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36. How do you verify and develop ideas and innovations?
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37. What is an unallowable cost?
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38. Have you made assumptions about the shape of the future, particularly its impact on your customers and competitors?
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39. What are your operating costs?
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40. How do you verify your resources?
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41. What do you measure and why?
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42. What does a Test Case verify?
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43. Where can you go to verify the info?
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44. Are there competing Web data services priorities?
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45. What tests verify requirements?
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46. How can you reduce the costs of obtaining inputs?
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47. How will measures
