What happens if Standard data model’s scope changes?
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125. Why are you doing Standard data model and what is the scope?
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126. Are customer(s) identified and segmented according to their different needs and requirements?
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127. Is there any additional Standard data model definition of success?
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128. How is the team tracking and documenting its work?
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129. Have specific policy objectives been defined?
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130. What scope do you want your strategy to cover?
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131. Is there regularly 100% attendance at the team meetings? If not, have appointed substitutes attended to preserve cross-functionality and full representation?
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132. How do you keep key subject matter experts in the loop?
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133. How do you manage changes in Standard data model requirements?
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134. Has everyone on the team, including the team leaders, been properly trained?
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135. What are the tasks and definitions?
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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 Standard data model Index at the beginning of the Self-Assessment.
CRITERION #3: MEASURE:
INTENT: Gather the correct data. Measure the current performance and evolution of the situation.
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 could cause delays in the schedule?
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2. What are your key Standard data model organizational performance measures, including key short and longer-term financial measures?
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3. Is it possible to estimate the impact of unanticipated complexity such as wrong or failed assumptions, feedback, etcetera on proposed reforms?
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4. What are the Standard data model key cost drivers?
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5. Have design-to-cost goals been established?
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6. How do your measurements capture actionable Standard data model information for use in exceeding your customers expectations and securing your customers engagement?
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7. Are there measurements based on task performance?
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8. Which costs should be taken into account?
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9. Are there any easy-to-implement alternatives to Standard data model? Sometimes other solutions are available that do not require the cost implications of a full-blown project?
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10. Are you able to realize any cost savings?
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11. What are the current costs of the Standard data model process?
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12. Do you have an issue in getting priority?
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13. Are indirect costs charged to the Standard data model program?
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14. What are the uncertainties surrounding estimates of impact?
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15. How will you measure success?
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16. How do you measure variability?
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17. How to cause the change?
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18. What measurements are possible, practicable and meaningful?
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19. What is the cause of any Standard data model gaps?
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20. What do people want to verify?
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21. How will costs be allocated?
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22. At what cost?
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23. What would it cost to replace your technology?
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24. What are your primary costs, revenues, assets?
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25. What is the root cause(s) of the problem?
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26. What is the cost of rework?
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27. What is the total cost related to deploying Standard data model, including any consulting or professional services?
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28. Is the solution cost-effective?
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29. Are missed Standard data model opportunities costing your organization money?
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30. What are the Standard data model investment costs?
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31. What are the costs?
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32. Are there competing Standard data model priorities?
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33. How can you measure the performance?
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34. When should you bother with diagrams?
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35. What is your decision requirements diagram?
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36. Have you made assumptions about the shape of the future, particularly its impact on your customers and competitors?
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37. What are you verifying?
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38. What causes extra work or rework?
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39. What evidence is there and what is measured?
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40. What are the estimated costs of proposed changes?
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41. Does a Standard data