Читать книгу Risk Transfer A Complete Guide - 2020 Edition - Gerardus Blokdyk - Страница 10

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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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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47. Why do other organizations choose fronting as an integral part of overall risk management process?

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48. How will corresponding data be collected?

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49. Which opportunities and what level of risk exposure require immediate action?

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50. Can the data be encrypted in transit and/or at rest?

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51. What were the financial benefits resulting from any ‘ground fruit or low-hanging fruit’ (quick fixes)?

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52. What opportunities does Brexit provide captives?

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53. Is the data subject to regulation?

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54. Have any additional benefits been identified that will result from closing all or most of the gaps?

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55. How is data used for program management and improvement?

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56. Is there any way to speed up the process?

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57. How will data be formatted for storage and accessibility?

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58. Is data and process analysis, root cause analysis and quantifying the gap/opportunity in place?

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59. What tools were used to narrow the list of possible causes?

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60. Where do you see the greatest opportunities for captive development going forward?

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61. Have the problem and goal statements been updated to reflect the additional knowledge gained from the analyze phase?

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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.