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Index
Note: Page numbers with “f” denote figures; “t” tables; “b” boxes
A
identification of, 60–63, 61f–62f
Accountability, data, 27, 127
strategic, 112
preliminary, identification of, 50, 119–121, 120f
C
Alignment, 36, 39b, 48–49, 93–106, 94f, 168
business needs, 97–103, 98f, 100f–102f
Capacity, see Change capacity assessment
business value, identification of, 103–106, 104f–105f
Centralized data management function, 113
leadership alignment assessment, 223t
CEO, 3, 32, 33, 37, 99, 103, 130
leverage existing EIM, 48–49, 93–96, 95f–96f
Change capacity assessment, 47, 73–78, 77f, 197,
Architecture
197t–200t
data, 9–10
Change management plan, 55
enterprise, 131
development, 148–151, 148f–150f
Artifacts, 169–170
execution, 56, 161–163, 161f–162f
Assessments, 43–44, 69–81, 71f
Charters template, 20003, 207–209
change capacity, 47, 71–78, 77f, 197,
CIO, 1, 18, 37, 43, 49, 73, 97, 173
197t–200t
COBIT, 117
collaborative readiness, 47, 78–81, 78f–80f, 204,
Collaborative readiness assessment, 47, 78–81, 78f–80f,
204t–205t
204, 204t–205t
EIM, 70
Committee, executive, 132
information maturity, 46–47, 71–74, 72f, 74f–75f,
Communication, 55
131, 201, 201t–203t
plan, 225, 225t–227t
leadership alignment, 223t
Constraints, approval of, 63f, 66–67
types of, 46f
Content
B of business case, 35–37
and scope of data governance, 23–24
Baseline process, determination of, 50, 114–118,
Corporate incentives, 135
115f–116f, 118f
Costs
Benefits, of business and risk-management, 38
of data quality, 36
Boundary problem, 135
of missed opportunities, 36
Business
quantification of, 38
alignment, 93–106, 94f
Council, 132
goals, 97
Critical success factors (CSFs), 31, 100, 174–175
leadership, EIM functional model to, 51, 121–123,
Culture, 131
121f–122f
risks, 36
measurable attributes of, 97
Custodians, see Stewards
needs, 97–103, 98f, 100f–102f
Customer data integration (CDI), 13–14
objectives, 97
Customer master data management (CMDM), 44–45, see
value, 30, 48–49, 93–106, 94f
Master data management (MDM)
identification of, 103–106, 104f–105f
D
Business case, 33–34
Data architecture, 9–10
contents, 35–37
Data governance (DG), 7, 11–13, 12f
development process, 37–39, 168
defined, 48, 83–85, 85f
objectives, 34–35
Business intelligence (BI), 15 elements of, 27–31
Business model, and scope of data governance, 22–23, 22f overview, 21
Business program, data governance as, 18, 174 scope of, 21–26
Business units case study, 26b
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