Introduction to Data Governance and Assessing Data Maturity

Data Governance Or Data Management?
Data Governance Standards
Other Definitions of Data Governance
Data Governance Responsibilities
Data Management
ISO Standards In This Course
ISO/DIS 37000 Wheel: The Centrality Of Governance
ISO/DIS 37000*:
Guidance for the Governance of Organisations
ISO/IEC 38500:2015
Governance of IT for The Organisation
Data Governance
The Definitions and Focus of Data Governance
Other Definitions of Data Governance
Six Use Cases for Data Governance
Data Governance: Areas of Focus
Who Manages Data Governance?

Trust Issues
Impact On Directors
Opportunities For Data-Driven Business
The Risk of Unintended Outcomes
Regulation Of Data
Maturity Assessment: Creating the Vision
Data Maturity Levels
Level 1: Data Aware
Level 2: Data Capable
Level 3: Data Adept
Level 4: Data Informed
Level 5: Data Pioneer
Discussion Point: Driving Data Initiatives Forward
What Are Business Drivers?
Top-Down Data Analysis
Enterprise Information Architecture
Designing Standardised Business Metadata
Bottom-Up Source Data Analysis
Source Data Selection
Data Selection Issues
Extract, Transform, and Load (ETL)
Examples: Specifying ETL Rules
Data Technologies
Enabling Technologies That Generate Data
Moving Data to a Data Warehouse
Developing the Data Warehouse
Denormalisation
OLTP vs. OLAP
OLAP Terminology
Value of OLAP
Identifying Enterprise Systems and Data
How Is Enterprise Data Stored?
Unstructured Data
Technical Infrastructure
Issues: Structured and Unstructured Data

Principles & Components of Data Governance
The Principles of Data Governance
Components of Data Governance
The Data Governance Paradox
The Data Governance Paradox: The Hidden Data Factory
Barriers to Data Governance
When Data Governance Fails
Setting Governance Goals and Objectives
Creating Your Data Governance Vision

Your Key Data Challenges
Data Management Metrics
Business Culture
Effective Business Communication
Selling Data Governance
Business Culture Change and Data Governance
Creating a Cultural Change Plan
Communications Strategies for a Cultural Change Plan
Using a Motivation Model
Using a Motivation Model
Tools & Technology
Building a Data Governance Business Case
What Are Business Drivers?
Building a Data Governance Business Case:
Costs and Benefits
Building a Data Governance Business Case:
Implementation Plan
Five Data Governance Models
Pros & Cons of Each Model
Using The Right Model for Your Organisation

Data Governance Framework
Data Governance Framework Examples: DGI
Data Governance Framework Examples: McKinsey
Data Governance Framework: Overview
The Data Governance Framework: Vision
The Data Governance Framework: Strategy
The Data Governance Framework: Organisation & People
Implementing a Data Governance Framework
What Does a Data Governance Framework Provide?
The Benefits of a Data Governance Framework
DGF Deliverables & Actions Checklist
Data Governance Framework

The Data Governance Roadmap
Data Governance Capability Mapping
The Data Governance Roadmap Checklist
Hints & Tips for Developing Roadmaps
Organising Practical Data Management
Identifying and Designing Data Management Processes
Data Ownership & Stewardship
What are Stakeholders?
Types of Requirements Errors
Why Do We Care?
Defining Organisational Goals and Objectives
Identifying Your Key Data
Data Management and Measurement
Quality Measures for Data
Baselines and Improvement Targets
Data Governance & Management Toolset
Data Improvement Plans
The Role of IT in Data Governance & Management
Issue Logging

Dealing with Connectivity
Issues With a Connected World
Addressing Issues with the Connected World
Examples of Issues with the Connected World
The Data Accountability Map
Data Accountability
Data Collection Governance Issues
Collecting Data
The Quality of Data Collected
Storing Data
Decide
The Governance Of Decision Making
Bias in the Decision-Making Process
Automated Decision-Making
Reporting on Data
Strategy for Reporting on Data
Data Classification for Reports
Distribution of Data
Aspects of Data Security
Models For Data Distribution:
Example: ENISA* Traffic Light Protocol
Why Dispose of Data?
Candidates For Data Disposal
Policy For Data Disposal
Creating Reports to Identify Disposable Data
External Triggers For Data Disposal
Permanent Removal
Archiving Data
Balancing Value, Risk, and Constraint
My Summary