Risk Transfer A Complete Guide - 2020 Edition. Gerardus Blokdyk

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Risk Transfer A Complete Guide - 2020 Edition - Gerardus Blokdyk

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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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      35. What Risk transfer data will be collected?

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      36. How will data security be managed?

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      37. Were there any improvement opportunities identified from the process analysis?

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      38. Did any value-added analysis or ‘lean thinking’ take place to identify some of the gaps shown on the ‘as is’ process map?

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      39. Why does the new data contradict the old data?

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      40. Who will facilitate the team and process?

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      41. What types of opportunities and what level of risk require a formal response strategy?

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      42. What were the crucial ‘moments of truth’ on the process map?

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      43. What conclusions were drawn from the team’s data collection and analysis? How did the team reach these conclusions?

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      44. Is the gap/opportunity displayed and communicated in financial terms?

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      45. Is there a solution that can address the main concerns of all key stakeholders in the process?

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      46. What does the data say about the performance of the stakeholder process?

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