Data Governance For Dummies

Index

A

• A/B testing, 83
• access, as a data compliance requirement, 81
• accountability, as an approach to data governance, 93–94
• accuracy, data quality and, 103
• achieving program success, 112–116
• advocacy, from leaders, 247–248
• alignment
  • with organizational needs, 108–110
  • of program with organization interests, 247
• ambition, sufficiency of, 230
• amplifying roles, 116
• analyzing
  • conflict, 194
  • stakeholder needs, 140–150
• announcing programs, 163–167
• anticipating risks and challenges, 235–241
• Applications layer (IoT), 181
• architecture, data, 32–33
• Archival stage, in lifecycle of data, 33, 34
• artificial intelligence (AI)
  • about, 39
  • as a role of data, 48
  • role of data governance in, 178–179
• assessing
  • conflict, 194
  • data culture, 18–19
  • data governance readiness, 20–21
  • outcomes, 171
• asset, data as an, 49–51
• automating
  • data governance programs, 198–207
  • monitoring, 221–222
• availability
  • as a central area of data governance, 98–99
  • in CIA triad, 133

B

• balanced scorecard, 217
• behaviors, focusing on, 253
• benefits, providing examples of, 167
• best practices
  • data governance, 245–254
  • for management dashboards, 216
• big data
  • about, 35–36
  • consequences of, 38
  • defining, 36
  • drivers of, 37
• Bing, 44
• Blockchain, role of data governance in, 180–182
• bottom line, improving, 83
• business alignment, 71
• business case
  • for data governance, 77–90
  • delivering, 86–88
  • documenting, 86–88
  • in proposal, 87
• business growth, as a business case for data governance, 79, 88
• business intelligence, as ...