costs after Revenue Analytics deployment?
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9. What would it cost to replace your technology?
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10. What are the costs and benefits?
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11. What would be a real cause for concern?
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12. How can a Revenue Analytics test verify your ideas or assumptions?
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13. How do you quantify and qualify impacts?
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14. How do you verify performance?
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15. How do you verify and validate the Revenue Analytics data?
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16. How long to keep data and how to manage retention costs?
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17. Where is the cost?
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18. How will measures be used to manage and adapt?
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19. Are actual costs in line with budgeted costs?
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20. What could cause delays in the schedule?
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21. Are indirect costs charged to the Revenue Analytics program?
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22. Will Revenue Analytics have an impact on current business continuity, disaster recovery processes and/or infrastructure?
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23. When a disaster occurs, who gets priority?
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24. What is the root cause(s) of the problem?
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25. What causes investor action?
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26. What is the total cost related to deploying Revenue Analytics, including any consulting or professional services?
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27. Are you aware of what could cause a problem?
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28. What is an unallowable cost?
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29. How do you verify if Revenue Analytics is built right?
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30. What is the Revenue Analytics business impact?
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31. Do you have an issue in getting priority?
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32. What tests verify requirements?
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33. What are the current costs of the Revenue Analytics process?
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34. Are the units of measure consistent?
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35. What can be used to verify compliance?
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36. What causes mismanagement?
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37. Was a business case (cost/benefit) developed?
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38. Why do the measurements/indicators matter?
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39. Among the Revenue Analytics product and service cost to be estimated, which is considered hardest to estimate?
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40. What disadvantage does this cause for the user?
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41. What does losing customers cost your organization?
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42. What harm might be caused?
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43. What do you measure and why?
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44. Where is it measured?
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45. What are your primary costs, revenues, assets?
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46. Have design-to-cost goals been established?
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47. What methods are feasible and acceptable to estimate the impact of reforms?
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48. Is the cost worth the Revenue Analytics effort ?
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49. How are costs allocated?
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50. What are hidden Revenue Analytics quality costs?
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51. What measurements are possible, practicable and meaningful?
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52. Does management have the right priorities among projects?
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53. How do you measure success?
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54. Are you taking your company in the direction of better and revenue or cheaper and cost?
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55. What measurements are being captured?
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56.
