Revenue Analytics A Complete Guide - 2020 Edition. Gerardus Blokdyk

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      126. What are the tasks and definitions?

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      127. What are the rough order estimates on cost savings/opportunities that Revenue Analytics brings?

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      128. What is the scope of Revenue Analytics?

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      129. What are the requirements for audit information?

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      130. How did the Revenue Analytics manager receive input to the development of a Revenue Analytics improvement plan and the estimated completion dates/times of each activity?

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      131. Has/have the customer(s) been identified?

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      132. Are accountability and ownership for Revenue Analytics clearly defined?

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      133. What critical content must be communicated – who, what, when, where, and how?

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      134. Is special Revenue Analytics user knowledge required?

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      135. Are required metrics defined, what are they?

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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 Revenue Analytics 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 your resources?

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      2. Are you able to realize any cost savings?

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      3. How is performance measured?

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      4. Are missed Revenue Analytics opportunities costing your organization money?

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      5. What are the costs?

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      6. What is the cost of rework?

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      7. How will effects be measured?

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      8. What are the operational 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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