Risk Transfer A Complete Guide - 2020 Edition. Gerardus Blokdyk

Risk Transfer A Complete Guide - 2020 Edition - Gerardus Blokdyk


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      59. What is the cost to transfer the risk?

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      60. Which is the cost of replacing the existing property exactly at the current price?

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      61. What charts has the team used to display the components of variation in the process?

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      62. Are appropriate historical cost data used in the estimate?

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      63. Is there sufficient knowledge about climate change impacts and adaptation?

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      64. Can data and analytics overcome Basis Risk?

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      65. How does your organization of infrastructure repair impact insurance?

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      66. What is the opportunity cost of buying insurance?

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      67. What users will be impacted?

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      68. Does the board understand the insurance coverage in place and its impact on potential claims?

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      69. What key measures identified indicate the performance of the stakeholder process?

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      70. What data should be analyzed to predict the claims of export credit insurance?

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      71. Which methods of risk identification and quantification do you know?

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      72. How long to keep data and how to manage retention costs?

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      73. Are process variation components displayed/communicated using suitable charts, graphs, plots?

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      74. How can that cause significant disruption to that particular investors portfolio if something goes wrong?

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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 Risk transfer Index at the beginning of the Self-Assessment.

      CRITERION #4: ANALYZE:

      INTENT: Analyze causes, assumptions and hypotheses.

      In my belief, the answer to this question is clearly defined:

      5 Strongly Agree

      4 Agree

      3 Neutral

      2 Disagree

      1 Strongly Disagree

      1. What are the key findings of the data?

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      2. Is the performance gap determined?

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      3. Are there enough various data available for statistical modelling purposes?

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      4. How sensitive is the data, and what are the necessary minimum security controls?

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      5. What are the greatest opportunities for your organization?

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      6. How will the data be checked for quality?

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      7. Is the Risk transfer process severely broken such that a re-design is necessary?

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      8. Does your investment process allow short-selling?

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      9. How was the detailed process map generated, verified, and validated?

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      10. Can the data and service be easily moved to another provider?

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      11. Were any designed experiments used to generate additional insight into the data analysis?

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      12. What Risk transfer data should be managed?

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      13. Who should be involved in the evaluation process, and who makes the decisions?

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      14. Were Pareto charts (or similar) used to portray the ‘heavy hitters’ (or key sources of variation)?

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      15. What quality tools were used to get through the analyze phase?

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      16. Are gaps between current performance and the goal performance identified?

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      17. What are the revised rough estimates of the financial savings/opportunity for Risk transfer improvements?

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      18. What quality control measures will be used when entering data?

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      19. Do you believe that acceptance of data sharing will increase overall?

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      20. Where are you seeing growth opportunities for captives today?

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      21. What did the team gain from developing a sub-process map?

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      22. What are the processes for audit reporting and management?

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      23. Which data needs to be collected to implement the mentioned approaches?

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      24. Did any additional data need to be collected?

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      25. What tools were used to generate the list of possible causes?

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      26. How is the confidentiality, integrity and availability of data maintained?

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      27. What is the cost of poor quality as supported by the team’s analysis?

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      28. How does your organization identify opportunities for innovation?

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      29. When should a process be art not science?

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      30. Was a cause-and-effect diagram used to explore the different types of causes (or sources of variation)?

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      31. Are internal controls inadequate in your organizations data processing area?

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      32. Was a detailed process map created to amplify critical steps of the ‘as is’ stakeholder process?

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      33. What systems/processes must you excel at?

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      34. Where will multiple data backups be stored?

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