Self Service A Complete Guide - 2020 Edition. Gerardus Blokdyk

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Название Self Service A Complete Guide - 2020 Edition
Автор произведения Gerardus Blokdyk
Жанр Зарубежная деловая литература
Серия
Издательство Зарубежная деловая литература
Год выпуска 0
isbn 9781867458944



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      11. How will data analytics, technology and self-service solutions play into the mix?

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      12. How do you verify Self-service completeness and accuracy?

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      13. When is Root Cause Analysis Required?

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      14. Why are customer self-service systems generally helpful in cutting customer service costs?

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      15. Can you do Self-service without complex (expensive) analysis?

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      16. When a disaster occurs, who gets priority?

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      17. How will you measure success?

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      18. How to leverage Data Discovery for self-service analytics?

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      19. Are indirect costs charged to the Self-service program?

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      20. Is there a burning need to build real time reporting and analytics, and self-service BI?

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

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      22. What is the Self-service business impact?

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      23. Has a cost center been established?

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      24. Are Self-service vulnerabilities categorized and prioritized?

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      25. How can you reduce the costs of obtaining inputs?

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

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      27. What is the total cost related to deploying Self-service, including any consulting or professional services?

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      28. What cost management services are available to employers through your client self-service portal?

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      29. How large is the gap between current performance and the customer-specified (goal) performance?

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      30. What is the governance model for self-service cloud analytics?

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      31. What are your organizations main reasons for implementing self-service BI and analytics?

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      32. Why do you expend time and effort to implement measurement, for whom?

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      33. Did you tackle the cause or the symptom?

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      34. Is a solid data collection plan established that includes measurement systems analysis?

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      35. Is long term and short term variability accounted for?

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      36. How are you enabling the big move to self-service analytics?

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      37. What has the team done to assure the stability and accuracy of the measurement process?

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      38. Which analytical skills are expected by the individuals or different user groups who use self-service?

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      39. What data was collected (past, present, future/ongoing)?

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      40. Can the analytic be self-service?

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      41. What particular quality tools did the team find helpful in establishing measurements?

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      42. How is self-service analytics taking business intelligence capabilities to the next level?

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      43. How to obtain a cost-effective operational model for support/ self-service websites?

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      44. What is the scope of self-service analytics and what are users outside of business analysts, IT, and other quantitative staff able to do with it?

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      45. How significant of an impact have your self-service capabilities had on customer-centric metrics that your organization uses today?

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      46. What measurements are being captured?

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      47. How best to implement Analytic Applications for high user adoption and self-service?

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      48. What are the key input variables? What are the key process variables? What are the key output variables?

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      49. Is a follow-up focused external Self-service review required?

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      50. Is there a Performance Baseline?

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      51. How do you know that any Self-service analysis is complete and comprehensive?

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      52. How do you measure efficient delivery of Self-service services?

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      53. Is Process Variation Displayed/Communicated?

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      54. Do all call center inquiries have to be via telephonic means or can self-service methods be utilized via the web or other resources to reduce headcount and cost?

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      55. Are you ready to learn more about how your organization can use self-service analytics to increase the effectiveness of analytics programs?

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      56. What is your path to a single source of truth and true BI self-service with a current landscape that has multiple analytics solutions and a high TCO?

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      57. Are there measurements based on task performance?

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      58. How do you leverage empowered analytics (self-service) to change the way your organization works?

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      59. How does self-service BI influence the lifecycle of BI, in terms of analysis and design?

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      60. What is the impact on your self-service strategy?

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      61. When asked, what impact does self-service have on your customers?

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      62. How much will the self-service portal cost up front and annually?

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      63. How will success or failure be measured?

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