Читать книгу Master Data Services A Complete Guide - 2020 Edition - Gerardus Blokdyk - Страница 9
ОглавлениеCRITERION #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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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. How frequently do you verify your Master Data Services strategy?
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68. What are the types and number of measures to use?
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69. What does your operating model cost?
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70. Are actual costs in line with budgeted costs?
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71. What is measured? Why?
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72. How do you stay flexible and focused to recognize larger Master Data Services results?
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73. How do you verify performance?
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74. What is the Master Data Services business impact?
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75. How will measures be used to manage and adapt?
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76. How can you reduce costs?
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77. What can be used to verify compliance?
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78. What is the total cost related to deploying Master Data Services, including any consulting or professional services?
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79. When a disaster occurs, who gets priority?
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80. How long to keep data and how to manage retention costs?
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81. Is there an opportunity to verify requirements?
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82. How frequently do you track Master Data Services measures?
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83. Are there measurements based on task performance?
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84. Does a Master Data Services quantification method exist?
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85. What could cause delays in the schedule?
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86. What does a Test Case verify?
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87. Do you aggressively reward and promote the people who have the biggest impact on creating excellent Master Data Services services/products?
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88. How is performance measured?
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89. What are the costs?
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90. Where can you go to verify the info?
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91. What measurements are being captured?
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92. Are you taking your company in the direction of better and revenue or cheaper and cost?
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93. What are the Master Data Services key cost drivers?
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94. What are your operating costs?
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95. Was a life-cycle cost analysis performed?
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96. How will costs be allocated?
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97. What are the strategic priorities for this year?
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98. How can you manage cost down?
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99. Why do you expend time and effort to implement measurement, for whom?
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100. Which measures and indicators matter?
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101. What are your customers expectations and measures?
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102. What is the cost of rework?
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103. Is a follow-up focused external Master Data Services review required?
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104. How are measurements made?
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105. How do you verify the Master Data Services requirements quality?
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106. Has a cost center been established?
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107. How will you measure your Master Data Services effectiveness?
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108. At what cost?
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109. Are indirect costs charged to the Master Data Services program?
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110. What would be a real cause for concern?
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111. Is the cost worth the Master Data Services effort ?
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112. What is an unallowable cost?
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113. Is invalid data and data mapping impacting your business?
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114. Who is involved in verifying compliance?
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115. How can you measure the performance?
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116. What do you measure and why?
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117. Who pays the cost?
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118. What is the analytic hierarchy process?
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119. What happens if cost savings do not materialize?
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120. How are you verifying it?
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121. What do people want to verify?
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122. How do you measure lifecycle phases?
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123. What harm might be caused?
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124. Do you effectively measure and reward individual and team performance?
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125. What tests verify requirements?
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126. What evidence is there and what is measured?
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127. What measurements are possible, practicable and meaningful?
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128. How is the value delivered by Master Data Services being measured?
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129. What is your decision requirements diagram?
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130. What relevant entities could be measured?
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131. How can you reduce the costs of obtaining inputs?
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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 Master Data Services Index at the beginning of the Self-Assessment.
