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DGS0: DMBoK and CDMP Preparation: Data Governance Specialist Learning Plan

In the DMBoK and CDMP Preparation: Data Governance Specialist Learning Plan, instructor Christopher Bradley provides the rationale why Data Governance is critical in an ever-changing business and technical environment. He presents methods and practices for addressing key Data Governance challenges and equipping organizations to address the challenges that increased regulatory scrutiny brings. This six-course Learning Plan gives a solid foundation in the topic of Data Governance by describing its purpose, outcome, and the typical organizational structures required. It also helps prepare learners to take the Certified Data Management Professional (CDMP) Data Governance Specialist exam, which is necessary to attain the Practitioner and Master levels.

The DMBoK and CDMP Preparation: Data Governance Specialist Learning Plan provides a solid foundation in the topic of Data Governance by describing its purpose, outcome, and the typical organization structures required, as well the drivers for Data Governance. It highlights the Data Governance implications of various regulatory acts and illustrates how organizations can prepare for compliance. Additionally, the Leaning Plan discusses the roles, responsibilities, and activities involved in establishing successful Data Governance, together with example metrics for measuring progress of a Data Governance initiative. Crucially, it shows how Data Governance can be implemented in bite-sized chunks vs. being approached in a top-down “big bang” manner.

Data Governance is not only important for improved business efficiency, flexibility, and competitive advantage; in the era of increasing information-based regulatory and compliance rules it is essential. Every day we read about data security and risk concerns, and these – together with current and emerging regulations such as the Data Protection Act, BCBS239, and the General Data Protection Regulation (GDPR) – mean that Data Governance is no longer optional. How can we manage our data and prepare for these regulations? What is Data Governance and what are its implications?

The training presents methods and practices for addressing key Data Governance challenges and equipping organizations to address the challenges that increased regulatory scrutiny brings. It is grounded in the industry standard DAMA International Data Management Body of Knowledge (DMBoK).

The training also prepares attendees to take the Certified Data Management Professional (CDMP) Data Governance Specialist exam that is necessary for the attainment of the Practitioner and Master Levels.

In addition, the Learning Plan highlights the vital relationship between Data Governance and other core Information disciplines, including Data Quality, Master Data Management, Data Modeling, and others.

The DAMA International-endorsed training was developed with DAMA International, DATAVERSITY, and Christopher Bradley, the former VP of Professional Development at DAMA.

CDMP Specialist Exam Preparation Information:

Understand in-depth the information required for the CDMP Data Governance Specialist exam
Practice by taking sample questions in each section of the Learning Plan
There is a full, comprehensive practice test at the end of Course 6, each of the other courses have shorter review tests

Learning Plan Outcomes:

Learn about the need for and application of Data Governance for different categories of challenges
Understand the Data Governance implications of a variety of regulatory acts and how to prepare your organization for compliance
Explore a Data Governance framework and understand how it aligns with other architecture frameworks
Understand the core concept of information lifecycle management, the different stages, and why they are important
Understand the critical roles Data Governance plays in the information disciplines of Master Data Management and Data Quality Management
Understand the roles and activities of the data owner and data steward
Learn the different motivations for Data Governance and how best to implement DG approaches
Develop a set of usable techniques that can be applied to a range of information management challenges
Learn the best practices for managing enterprise information needs
Learn how to create Data Governance structures to address differing styles of organizational management

Who Should Take This Learning Plan?

This Learning Plan is intended for business and IT professionals at all levels who have been charged with investigating or implementing Data Governance in their organizations and who seek to gain an overview of the different disciplines of Data and Information Management. It was also developed as a preparation course for people wishing to take the CDMP Data Governance Specialist exam, and much of the materials focuses on the necessary skills to pass that exam. It does assume general business knowledge, but not specific technical knowledge or experience. It is appropriate for executives, departmental and/or project managers, data and enterprise architects, consultants, data modelers, BI and data warehouse developers, data and business analysts, DBAs, technical staff, and anyone else interested and involved in data. The course is not designed for any specific business domain, and as such is applicable to any business function in need of more reliable information, such as finance, manufacturing, human resources, analytics, operations, and more.

Learning Plan Price: $899
Individual Course Price: $199
Learning Plan CEUs: 12

Each Course Includes:

A 90- to 157-minute educational training video
An 11- to 32-question practice test
After Course 6 (the final course in the Learning Plan), there is a 32-question CDMP-style practice exam
The other final exams and quizzes for each course are content-based practice tests
“Check for Understanding” quizzes after each main course section
Self-paced and on-demand e-learning
Unlimited course access

Courses within the DMBoK and CDMP Preparation: Data Governance Specialist Learning Plan:

Data Governance and Data Management Overview, Definitions, and Exam Coverage
Role of Data Governance in Other Data Disciplines, Drivers, and Goals
Data Governance Program, Scope, and Maturity Assessment
Data Governance Metrics, Organizations, Roles and Responsibilities, and Operating Models
Data Governance Skills and Competencies, Activities, Tools, and Data Ethics
Data Governance Best Practices and Standards

We offer several bulk licensing options for corporate and group use.

DMBoK and CDMP Preparation: Data Governance Specialist Learning Plan Course Outlines

Course 1: Data Governance and Data Management Overview, Definitions, and Exam Coverage

DMBoK and CDMP: Data Governance Specialist Learning Plan – Course Overview
Overview, Definitions, and Exam Coverage
- Data Governance Exam Breakdown
  - Question Difficulty
Why is Data Management Critical?

What is the Problem?

Big Data
- The Problem
The Data Governance Wheel
Business Environmental Elements
- Business Environments Factors
The Information Value Chain
- Data, Information, and Knowledge
Data Governance Defined
- What is Data Governance?
Definitions and Principles
- Generally, Accept Accounting Principles (GAAP)
- Generally Accepted Keeping Principles (GARP)
Data Governance and Stewardship
Data Governance Strategy
Assets
- Data as an Asset
Quiz 1
- Quiz 1 Answers
DMBoK and CDMP: Data Governance Specialist Learning Plan – Progress Review

Course 2: Role of Data Governance in Other Data Disciplines, Drivers, and Goals

DMBoK and CDMP: Data Governance Specialist Learning Plan – Courses
Data Governance Relationships with Other Knowledge Areas
Data Governance Exam Breakdown (Recap)
The Data Governance Wheel
Data Quality Management
- Juran Trilogy (Joseph Juran 1908-2008)
- Data Quality Profiling – Assess Data Quality
- Caution when Defining Data Quality Indicators
Reference and Master Data Management

What is Master and Reference? What is Master Data Management (MDM)?
MDM Implementation
- Implementation: Operational Vs. Analytical MDM
Conclusions

Data Modeling and Design
- Data Modeling Enables Core Business Considerations
- Facilitated by Data Modeling
- Data Governance and Models – Metadata Extensions (ER/ Studio Attachments)
- Linkages
Data Warehousing and Business Intelligence (and Big Data)
- Classic Characteristics of a Data Warehouse (Bill Inmon)
- Why Utilize a Data Warehouse?
- Conceptual DW/BI and Big Data Architecture
Data Security Management
- Data Security Guiding Principles
- Assessment of Risk Exposure Formula
Metadata Management
- Metadata Covers the 6 Interrogatives of Data
- Types of Metadata – 3 Categories (DMBOK)
  - Others (Real World)
  - Information Science
- Metadata and Data Governance
- Types and Typical Sources of metadata
Data Architecture and Lifecycle Management
- Process and Data Model Relationship
- The Information Lifecycle
  - Plan
  - Archive and Retrieve
  - Purge
Data Storage and Operations

Factors Affecting Availability Vs. Performance

Document, Records, and Content Management
- Key Terms
- GARP
- Document/ Record Management Lifecycle
- Document Control Schemes
Data Integration and Interoperability
- Approaches
- Data Governance
  - Data Governance as a Program
Drivers and Goals

3 Motivations and Behaviors for Data Governance
Information in Context
Common Drivers for Data Governance
Drivers for Data Governance (DMBoK 2)
Data Governance Goals (DMBoK 2)

Quiz 2
- Quiz 2 Answers
DMBoK and CDMP: Data Governance Specialist Learning Plan – Progress Review

Course 3: Data Governance Program, Scope, and Maturity Assessment

DMBoK and CDMP Preparation: Data Governance Specialist Learning Plan – Courses
Data Governance Scope
- Data Governance Exam Breakdown
- Models and Data Governance
- DG Framework (Common Themes in DG Models and Frameworks)
- 5 Considerations in Setting Data Governance Scope
- Data Governance Scope – 4 Key Points
Data Governance Maturity Assessment
- Baseline: Maturity Assessment
Exercise 1: Are you Treating DATA as a Core Asset?
- Is Data Treated as a Corporate Asset?
- Scoring
Baseline: Maturity Assessment
- Maturity Assessment
- Example: Data Governance Maturity Assessment
- Data Governance Maturity – 5 Key Points
Data Governance Program
- Data Governance Strategy and Implementation
- Data Governance Program – 5 Key Points
Quiz 3
- Quiz 3 Answers
DMBoK and CDMP Preparation: Data Governance Specialist Learning Plan – Progress Review

Course 4: Data Governance Metrics, Organizations, Roles and Responsibilities, and Operating Models

DMBoK and CDMP Preparation: Data Governance Specialist Learning Plan – Courses
Metrics
- Metrics (DMBoK)
- Portfolio vs. Per Project
- Principles and Minimum Standards
  - Example 1: Data Management Principles
- Data as an Enterprise Asset
- Minimum Data Standards and Metrics
- Data Management Measures (Example with 2 Principles)
Organizations, Roles, and Responsibilities
- Data Management Organizations (DMBoK)
- Data Governance Office
- Data Governance Organization
- Typical DG Roles and Responsibilities
- Example Governance (RACI)
  - Example: Data Governance Steering Committee
  - Example: Data Governance Council
  - Example Data Governance Structure
- Data Stewardship
  - Core data Stewards (DMBoK)
  - Data Stewards Roles (DMBoK)
- Data Owner – Data Roles
  - Typical Activities of a Data Owner
- Skills and Skill Levels Required for Roles (Example)
  - Example Skill – Data Governance
- Data Steward – Data Roles
  - Typical Activities of a Data Steward
- Example Skill – Stakeholder Relationship Management
- Data Custodian – Data Roles
  - Data Custodian/ System Owner
  - Data Custodian in Depth
- Example Skill – Data Security
- Data Governance Levels
- Roles and Responsibilities – 7 Key Points
Operating Models
- Operating Models for DG
  - Centralized
  - Replicated (Decentralized)
  - Decentralized/Networked
  - Federated
  - Hybrid
  - Hub and Spoke
  - Self- Organizing Teams
- Considerations
- Operating Models – 5 Key Points
Quiz 4
- Quiz 4 Answers
DMBoK and CDMP: Data Governance Specialist Learning Plan – Progress Review

Course 5: Data Governance Skills and Competencies, Activities, Tools, and Data Ethics

DMBoK and CDMP Preparation: Data Governance Specialist Learning Plan – Courses
Data Governance Skills and Competencies
- Components of Data Capabilities and Competency Framework – Overview
- Behaviors and Attitudes
- General Competencies
- Role Families and Roles
- Skills and Skill Levels Required for Roles
- Critical Success Factors
- Guiding Principles
- Data Governance Enabling Core Business Considerations
Data Governance Activities and Tools
- Activities
- Developing Organizational Touch Points
- Evangelism and Outreach
- Example 1: Governance Workflow (RACI)
- Example 2: Governance Workflow (Processes)
- Process Detail (Example)
- Portfolio Vs. Per Project
- Information Lifecycle
- Data Strategy and DMBoK 2
- Activities – 7 Key Points
- Data Strategy in Context
Data Handling Ethics
- Importance of Data Ethics
- Goals of Data Handling Ethics
- Data Ethics – Start Point
  - Goals and Concepts
- Principles to Evaluate Ethical Use
- Ethical Data Handling Capability
- Social License and Consent
- Ethical Responsibility
- Ethical Issues Raised by Information Technology
- Ethical Rises in a Sampling Project
Quiz 5
- Quiz 5 Answers
DMBoK and CDMP: Data Governance Specialist Learning Plan – Progress Review

Course 6: Data Governance Best Practices and Standards

DMBoK and CDMP Preparation: Data Governance Specialist Learning Plan – Courses
Best Practices
- Diagnosing Organizational Readiness
- Strategy Touch Points
- Barriers to Managing Information as a Business Asset
- Stakeholder Management
- Benefits of Stakeholder Management
- Stakeholders: Who are Yours?
- Difference Between Stakeholder and Shareholder
- Stakeholder Management
- Organizational Models for DG
Data Governance: Case Study
- DG Organization Model/Rationale
Standards
- Data Values Standards (Some Examples)
  - Country Codes
- Regulations and Standards
- BCBS 239 and Data Management
  - Mapping from DG Principles to BCBS 239 Principles
- Data Management Tools Genres (Illustrative)
- A Data Governance Tool
- 10 DG Worst Practices
- Enterprise Information Architecture
- Importance of Reference Data
  - Focus on Important Items for Data Governance
- Standards and Best Practices – 3 Key Points
Data Governance Summary 1
Data Governance Summary 2
Data Governance Summary 3
Quiz 6
- Quiz 6 Answers
DMBoK and CDMP Preparation: Data Governance Specialist Learning Plan – Progress Review