Self Service A Complete Guide - 2020 Edition. Gerardus Blokdyk

Do your organizations IT BI teams and development experts provide guidance to users of self-service BI and analytics technologies?

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      65. How should the self-service technology features be prioritized?

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      66. Was a data collection plan established?

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      67. Is data collected on key measures that were identified?

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      68. Where can you go to verify the info?

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      69. What is an unallowable cost?

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      70. What are the agreed upon definitions of the high impact areas, defect(s), unit(s), and opportunities that will figure into the process capability metrics?

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      71. Have you deployed self-service/automated tools to optimize your IT operational cost?

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      72. Does management have the right priorities among projects?

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      73. Is key measure data collection planned and executed, process variation displayed and communicated and performance baselined?

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      74. How will costs be allocated?

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      75. Which self-service technology are you focusing on?

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      76. How advanced and coherent is the data architecture in support of a self-service analytics initiative?

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      77. Do you aggressively reward and promote the people who have the biggest impact on creating excellent Self-service services/products?

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      78. Among the Self-service product and service cost to be estimated, which is considered hardest to estimate?

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

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      80. What impact has using self-service for customer service currently had on your organizations ability to address priorities?

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      81. Is it cost effective to use a self-service system because of the consequent reduction in staff costs?

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      82. Are key measures identified and agreed upon?

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      83. Who participated in the data collection for measurements?

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      84. Have you found any ‘ground fruit’ or ‘low-hanging fruit’ for immediate remedies to the gap in performance?

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      85. Which Self-service impacts are significant?

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      86. Are high impact defects defined and identified in the stakeholder process?

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      87. What does self-service really cost?

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      88. What are the estimated costs of proposed changes?

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      89. Should you focus on self-service or sales-supported SaaS?

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      90. How frequently do you verify your Self-service strategy?

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      91. How do you leverage Data Discovery for self-service analytics?

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      92. What are predictive Self-service analytics?

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      93. Has automation and self-service allowed for cost savings?

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      94. What does losing customers cost your organization?

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      95. What disadvantage does this cause for the user?

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      96. What is self-service analytics and why is it important?

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      97. What users will be impacted?

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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 Self-service 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 sources of data from self-service interactions?

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      2. What are the best opportunities for value improvement?

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      3. Do you drive employee experience and engagement through self-service?

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      4. Do you, as a leader, bounce back quickly from setbacks?

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      5. Are Self-service changes recognized early enough to be approved through the regular process?

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      6. How will you manage IT and self-service data integration?

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

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      8. Do you have difficulty supporting self-service access to complex data sources?

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      9. What are the Self-service design outputs?

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      10. Is the process self-service or managed?

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

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      12. What are your key Self-service indicators that you will measure, analyze and track?

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      13. Will your solution be self-serviced locally or provisioned in the data center?

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

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      15. What are evaluation criteria for the output?

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