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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