Master Data Services A Complete Guide - 2020 Edition. Gerardus Blokdyk
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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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56. How do you control the overall costs of your work processes?
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57. The approach of traditional Master Data Services 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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58. What will be the impact of pausing resources?
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59. Why do the measurements/indicators matter?
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60. How do you aggregate measures across priorities?
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61. When are costs are incurred?
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62. How can you measure Master Data Services in a systematic way?
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63. Do you verify that corrective actions were taken?
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64. How do you quantify and qualify impacts?
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65. Have you included everything in your Master Data Services cost models?
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66. What is internal audit data analytics?
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67.