or want better self-service for analytics?
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4. What percentage of your department has access to self-service analytics tools?
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5. Do you have any cost Self-service limitation requirements?
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6. Why do the measurements/indicators matter?
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7. Is data collection planned and executed?
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8. The approach of traditional Self-service works for detail complexity but is focused on a systematic approach rather than an understanding of the nature of systems themselves, what approach will permit your organization to deal with the kind of unpredictable emergent behaviors that dynamic complexity can introduce?
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9. Are you able to realize any cost savings?
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10. What are the Self-service investment costs?
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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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