Managing Data Quality

INDEX

5-Whys technique 90–1

acceptable use policy 126–7

accuracy (data quality dimension) 12–13, 62, 88, 91, 101, 103

analytic and processing tools (data triangle) 19

approval processes 10, 108, 115, 118–19, 130

architecture (target of improvement) 102

archive (data life cycle stage) 8, 9

assess quality (data life cycle stage) 8–9

asset, data as 6–7

attributes 12, 13, 72, 73, 77, 78, 92, 102

backups 17–18, 59, 81

behaviours and culture 26–8

data demotivators 42–3, 129

Data Zoo 28–40, 83, 105, 127–9

human factor 124–5, 127–30

implementing data quality management 114, 116, 118

interacting behaviours 40

non-compliance culture 28, 32, 43

teamwork 41–2

Belbin, Dr Meredith 40

benefits of improving data quality 105–6

best practice 54, 65

‘big bang’ ...