Index_I

I

identified costs, 111

identifier columns, 194-195

impacts

already happening, 86

assessing, 85-87

documenting, 87

not yet happening, 87

See also issues

inaccurate data

acceptance of, 8-9

blame for, 9-10

cause investigation, 87-94

clustering of, 35

cost, 9, 15

distribution of, 32-34

facts, recording, 207-209

finding, 35-40

impact, 12-14

impact assessment, 85-87

increase in, 8

reasons for, 34

remedy development, 94-99

tolerance levels, 40-41

inaccurate data sources, 43-64

areas, 43

data accuracy decay, 50-52

initial data entry, 44-49

moving/restructuring data, 52-62

problem scope, 63

using data, 62-63

inclusive relationship, 203

inconsistencies

actual point, finding, 167

change-induced, 30

finding with programmatic methods, 167

object-level, 32

reasons for, 167

information gathering (column property analysis), 153

information gathering (structure analysis), 189-191

commonsense speculation, 191

data models, 189-190

database definitions, 190

metadata repositories, 189

information products, conversion to, 93-94

information systems

complexity, 7

continuous evolution of, 5-8

importance, 105

information technology

evolution, 10

management, 11

inside-out method, 72-73

analysis, 72

defined, 72

inaccurate data evidence, 73

outside-in method comparison, 74-75

problem catching, 74

rule set, 72

See also data quality assurance methods

integration, 7, 62

intended use decisions, 169

investigations, 80, 81

cause, 87-94

facts, 81

outside-in, 86

issue collection, 81-85

metrics, 82-85

output, 85

issue management, 80-102

cause investigation, 87-94

impact assessment, 85-87

phases, 81

post-implementation monitoring, 99-101

remedy development, 94-99

remedy implementation, 99

summary, 101-102

issues

crystallizing, 87

data profiling repository, 278

defined, 85

impact assessment of, 85-87

life-span, 101

recording, 85

tracking, 101