Self Service A Complete Guide - 2020 Edition. Gerardus Blokdyk

in your organization currently integrating or blending data from sources using a software solutions self-service data preparation capabilities?

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      19. What process improvements will be needed?

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

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

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

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      23. What are your current levels and trends in key Self-service measures or indicators of product and process performance that are important to and directly serve your customers?

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

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

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

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      27. Does your self-service product track data point in time?

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      28. How are outputs preserved and protected?

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      29. 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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      30. Does your organization systematically track and analyze outcomes related for accountability and quality improvement?

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      31. Are pertinent alerts monitored, analyzed and distributed to appropriate personnel?

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      32. What are self-service data discovery and visualisation tools?

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      33. Are losses documented, analyzed, and remedial processes developed to prevent future losses?

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      34. Have the types of risks that may impact Self-service been identified and analyzed?

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      35. Do several people in different organizational units assist with the Self-service process?

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      36. How can the available data be enriched to allow for self-service?

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      37. What is a service recovery process from a self-service technology approach?

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      38. Does the knowledge management module include the ability to establish expiration dates that drive update alerts to the document owner?

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      39. What security measures are used to safeguard employee data in the self-service portal?

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      40. Will self-service drive more complex calls to the service desk?

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

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      42. How difficult is it to qualify what Self-service ROI is?

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

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      44. When should a process be art not science?

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      45. Did any additional data need to be collected?

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      46. Have all non-recommended alternatives been analyzed in sufficient detail?

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      47. How will corresponding data be collected?

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      48. What reports are available to drive Evolve Loop content development, especially to fill customer self-service gaps?

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      49. Does the BI platform support various self-service BI automation processes that allow business users to do more with less?

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      50. How do you enable self-service business intelligence without compromising on data accuracy?

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      51. Who will facilitate the team and process?

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      52. Is your data ready for self-service business intelligence?

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      53. Which stakeholder characteristics are analyzed?

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      54. Is the recovery process a self-service mechanism or must the customer contact your organization to request data recovery?

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      55. Is the connectivity for self-service users the same as it would be for IT or is it limited to a subset of data sources?

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      56. Are self-service libraries a threat to the profession or an opportunity to better serve patrons?

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