Standard Data Model A Complete Guide - 2020 Edition. Gerardus Blokdyk

What happens if Standard data model’s scope changes?

      <--- Score

      125. Why are you doing Standard data model and what is the scope?

      <--- Score

      126. Are customer(s) identified and segmented according to their different needs and requirements?

      <--- Score

      127. Is there any additional Standard data model definition of success?

      <--- Score

      128. How is the team tracking and documenting its work?

      <--- Score

      129. Have specific policy objectives been defined?

      <--- Score

      130. What scope do you want your strategy to cover?

      <--- Score

      131. Is there regularly 100% attendance at the team meetings? If not, have appointed substitutes attended to preserve cross-functionality and full representation?

      <--- Score

      132. How do you keep key subject matter experts in the loop?

      <--- Score

      133. How do you manage changes in Standard data model requirements?

      <--- Score

      134. Has everyone on the team, including the team leaders, been properly trained?

      <--- Score

      135. What are the tasks and definitions?

      <--- Score

      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?

      <--- Score

      2. What are your key Standard data model organizational performance measures, including key short and longer-term financial measures?

      <--- Score

      3. Is it possible to estimate the impact of unanticipated complexity such as wrong or failed assumptions, feedback, etcetera on proposed reforms?

      <--- Score

      4. What are the Standard data model key cost drivers?

      <--- Score

      5. Have design-to-cost goals been established?

      <--- Score

      6. How do your measurements capture actionable Standard data model information for use in exceeding your customers expectations and securing your customers engagement?

      <--- Score

      7. Are there measurements based on task performance?

      <--- Score

      8. Which costs should be taken into account?

      <--- Score

      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?

      <--- Score

      10. Are you able to realize any cost savings?

      <--- Score

      11. What are the current costs of the Standard data model process?

      <--- Score

      12. Do you have an issue in getting priority?

      <--- Score

      13. Are indirect costs charged to the Standard data model program?

      <--- Score

      14. What are the uncertainties surrounding estimates of impact?

      <--- Score

      15. How will you measure success?

      <--- Score

      16. How do you measure variability?

      <--- Score

      17. How to cause the change?

      <--- Score

      18. What measurements are possible, practicable and meaningful?

      <--- Score

      19. What is the cause of any Standard data model gaps?

      <--- Score

      20. What do people want to verify?

      <--- Score

      21. How will costs be allocated?

      <--- Score

      22. At what cost?

      <--- Score

      23. What would it cost to replace your technology?

      <--- Score

      24. What are your primary costs, revenues, assets?

      <--- Score

      25. What is the root cause(s) of the problem?

      <--- Score

      26. What is the cost of rework?

      <--- Score

      27. What is the total cost related to deploying Standard data model, including any consulting or professional services?

      <--- Score

      28. Is the solution cost-effective?

      <--- Score

      29. Are missed Standard data model opportunities costing your organization money?

      <--- Score

      30. What are the Standard data model investment costs?

      <--- Score

      31. What are the costs?

      <--- Score

      32. Are there competing Standard data model priorities?

      <--- Score

      33. How can you measure the performance?

      <--- Score

      34. When should you bother with diagrams?

      <--- Score

      35. What is your decision requirements diagram?

      <--- Score

      36. Have you made assumptions about the shape of the future, particularly its impact on your customers and competitors?

      <--- Score

      37. What are you verifying?

      <--- Score

      38. What causes extra work or rework?

      <--- Score

      39. What evidence is there and what is measured?

      <--- Score

      40. What are the estimated costs of proposed changes?

      <--- Score

      41. Does a Standard data