Study Infographics
18 cards
#01
01 — What is Data Governance?
Definition · Three Pillars · Constitution Metaphor
#02
02 — Why & Who Needs DG?
Problems vs Solutions · Stakeholder Roles · Kitchen Metaphor
#03
03 — Implementation Roadmap & Approaches
4-Phase Roadmap · Governance Models · Methodologies
#04
04 — DG Frameworks Comparison
DAMA-DMBOK · COBIT · CMMI · DCAM · Gartner · Data Mesh · Non-Invasive · ISO 38500
#05
05 — RACI Matrix for Data Governance
RACI Definitions · 7 Core Roles · Activity Matrix · Pitfalls
#06
06 — DG Tools & ISO Standards
Tool Categories · Key Tools · ISO Standards · SQUID Mnemonic
#07
07 — Maturity Models & KPIs
CMMI 5 Levels · 6 Categories · KPI Dashboard · Vital Signs Metaphor
#08
08 — Memory Aids & Mnemonics
PPT · TRUST · SAIL · CODA · SQUID · SCORE · GOD SAVE MI DATA
#09
09 — Data Architecture
The overarching blueprint defining how data is structured, flows, and is managed across the enterprise. Aligns initiatives with business strategy and prevents fragmented systems.
#10
10 — Data Quality
Planning, implementation, and control of activities ensuring data is fit for its intended purpose. Builds trust, reduces operational errors, and ensures regulatory compliance.
#11
11 — Data Security
Processes, policies, and controls protecting data from unauthorized access, corruption, or theft. Ensures privacy, compliance with GDPR/HIPAA/CCPA, and maintains stakeholder trust.
#12
12 — Data Modeling
Discovering, analyzing, and representing data requirements as Conceptual, Logical, and Physical models. Reduces redundancy and provides a common language for business and IT.
#13
13 — Data Storage
Managing physical infrastructure and operational processes including backups, recovery, and performance tuning. Ensures high availability, business continuity, and cost optimization.
#14
14 — Data Integration
Combining data from different sources to provide a unified view (ETL/ELT, APIs, messaging). Breaks down silos, automates data movement, and ensures consistency across systems.
#15
15 — Reference & Master Data
Managing core business entities (Customers, Products, Employees) to create a single, trusted "Golden Record." Prevents contradictory information and enables a 360-degree business view.
#16
16 — MetaData Management
"Data about data" providing context, meaning, usability, and lineage. Makes data searchable, enables impact analysis, and supports regulatory compliance through data lineage.
#17
17 — Data Sharing
"Data about data" providing context, meaning, usability, and lineage. Makes data searchable, enables impact analysis, and supports regulatory compliance through data lineage.
#18
18 — Data Monetization
Turning data into tangible economic value through direct sales or indirect optimization. Creates new revenue streams, maximizes ROI on infrastructure, and establishes competitive advantage.
#19
19 — ISO 27001
#20
20 — ISO 27701
#21
21 — ISO 8000
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