Master Data Services A Complete Guide - 2020 Edition. Gerardus Blokdyk

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      Transfer your score to the Master Data Services 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. Are you able to realize any cost savings?

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      2. Is the scope of Master Data Services cost analysis cost-effective?

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      3. Among the Master Data Services product and service cost to be estimated, which is considered hardest to estimate?

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      4. Where is the cost?

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      5. What could cause you to change course?

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      6. What is your cost benefit analysis?

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      7. Will Master Data Services have an impact on current business continuity, disaster recovery processes and/or infrastructure?

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      8. Does management have the right priorities among projects?

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      9. How can a Master Data Services test verify your ideas or assumptions?

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      10. How do you measure success?

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      11. Are missed Master Data Services opportunities costing your organization money?

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      12. What causes investor action?

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      13. What causes extra work or rework?

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      14. What is your Master Data Services quality cost segregation study?

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      15. Are there competing Master Data Services priorities?

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      16. When should you bother with diagrams?

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      17. What causes innovation to fail or succeed in your organization?

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      18. Which Master Data Services impacts are significant?

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      19. What are the uncertainties surrounding estimates of impact?

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      20. How do you verify if Master Data Services is built right?

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      21. How has cost, schedule, and performance changed over time for a particular program or across programs?

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      22. What are the current costs of the Master Data Services process?

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      23. What does losing customers cost your organization?

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      24. What potential environmental factors impact the Master Data Services effort?

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      25. How do you prevent mis-estimating cost?

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      26. What are your key Master Data Services organizational performance measures, including key short and longer-term financial measures?

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      27. What are you verifying?

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      28. How do you verify and validate the Master Data Services data?

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      29. How will your organization measure success?

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      30. Do you have a flow diagram of what happens?

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

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      32. Do you have any cost Master Data Services limitation requirements?

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

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      34. How do your measurements capture actionable Master Data Services information for use in exceeding your customers expectations and securing your customers engagement?

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      35. Do you have an issue in getting priority?

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      36. What are hidden Master Data Services quality costs?

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      37. How does cost-to-serve analysis help?

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      38. What users will be impacted?

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      39. Do the benefits outweigh the costs?

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      40. How are costs allocated?

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      41. How will the Master Data Services data be analyzed?

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      42. What causes mismanagement?

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      43. Is an enterprise data governance gap analysis considered in scope?

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      44. Are the units of measure consistent?

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      45. What disadvantage does this cause for the user?

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      46. How do you verify the authenticity of the data and information used?

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      47. How do you measure variability?

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      48. How do you focus on what is right -not who is right?

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      49. What is the total fixed cost?

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      50. What drives O&M cost?

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      51. Are the Master Data Services benefits worth its costs?

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      52. What is the cause of any Master Data Services gaps?

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      53. How do you verify your resources?

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      54. Are supply costs steady or fluctuating?

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      55. How do initiatives as master data management impact enterprise information management?

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