Certified Data Management Professional (CDMP)

About the Course

Effective data management and governance have become critical to any organisation's success. As businesses increasingly rely on data to drive decision-making, the need for structured and secure data practices is paramount. This Certified Data Management Professional (CDMP) training course is designed to provide delegates with a deep understanding of the principles and best practices necessary to manage and govern data effectively. It will guide delegates through the complexities of data management, ensuring they are well-equipped to navigate the challenges and opportunities presented by modern data ecosystems.

Delegates will gain insights into the foundational elements of data management and governance, learning how to align these practices with their organisation's strategic goals. It will emphasize the importance of establishing robust data governance frameworks essential for maintaining data integrity, security, and quality. By focusing on the roles and responsibilities within data governance, delegates will be prepared to lead or contribute to their organisation's data initiatives, ensuring that data assets are managed efficiently and ethically.

This training program is designed to provide a comprehensive understanding of the DAMA DMBOK, focusing on the core areas required for the CDMP certification. Through interactive sessions, practical exercises, and detailed exam preparation, delegates will gain the skills and knowledge necessary to excel in data management and successfully achieve CDMP certification. Delegates will be equipped with the knowledge and skills to implement and maintain effective data governance structures. They will not only understand the theoretical aspects of data management but also be able to apply practical strategies to enhance their organisation's data practices, ultimately driving better business outcomes.

Core Objectives

The delegates will achieve the following objectives:

• Understand the core concepts and principles of data management as outlined in the DAMA DMBOK
• Prepare participants for the CDMP Examination
• Introduction of the foundational concepts of data management and governance, including roles, responsibilities, and the overarching framework for effective data management
• Focus on the architecture, modelling, and design aspects of data management, covering both conceptual and practical elements
• Provide an in-depth understanding of data security, privacy, and quality management and their role in effective data management
• Understand the principles and practices of integrating and managing data across different systems and platforms to ensure consistency and quality
• Learn business intelligence and analytics with an overview of different approaches and techniques

Training Approach

This training course emphasizes a blend of theoretical instruction and hands-on practical exercises. Delegates engage in interactive workshops and case studies that simulate real-world data management scenarios, allowing them to apply learned concepts in a controlled environment. This experiential learning approach fosters active participation, critical thinking, and skill development necessary for mastering data governance, modeling, architecture, and analytics in preparation for CDMP Certification.

The Attendees

This training course is tailored for professionals across various disciplines who manage and leverage organisational data effectively. It is for professionals responsible for implementing data governance, ensuring data quality, and driving business insights through data analytics. It equips delegates with the skills and knowledge required to excel in data management roles and obtain CDMP certification, preparing them to navigate complex data environments and contribute to organisational success.

Likewise, it will be valuable to the professionals but not limited to the following:

• Data Managers
• Database Administrators
• Data Architects
• Data Analysts
• IT Managers
• Business Intelligence (BI) Developers
• Compliance Officers

Daily Discussion

DAY ONE: INTRODUCTION TO DATA MANAGEMENT AND DATA GOVERNANCE

• Introduction to the DAMA CDMP Certification
• Structure of the Program and Learning Outcomes
• Definition and Importance of Data Management
• The Role of Data Management in Organisations
• Data Governance Frameworks and Models
• Roles and Responsibilities in Data Governance – Data Stewardship and Data Governance Council
• Policies, Standards, and Procedures
• Data Governance Maturity Models and Assessment
• Data Strategies: Vision, Mission, Goals, and Objectives
• Aligning Data Strategy with Organisational Strategy

DAY TWO: DATA ARCHITECTURE, MODELING, AND DESIGN

• Definition and Types of Data Architectures: Enterprise, Solution, and Application Data Architectures
• Data Modelling and Data Flow Diagrams
• Data Modelling Concepts (Conceptual, Logical, and Physical Data Models)
• Data Modelling Techniques: Entity-Relationship Diagrams (ERD), Normalisation, Dimensional Modelling
• Best Practices for Data Modelling and Design
• Data Quality Considerations in Modelling
• Data Storage Technologies (Databases, Data Warehouses, Data Lakes)
• Data Lifecycle Management: Data Creation, Retention, Archiving, and Deletion
• Data Storage Architectures: On-premises vs Cloud Storage
• Best Practices for Managing Data Operations 

DAY THREE: DATA SECURITY, PRIVACY, AND QUALITY

• Data Security Principles and Practices
• Key Security Controls and Measures – Access Controls, Encryption, Data Masking
• Data Privacy Regulations and Compliance (GDPR, CCPA, Local Regulations)
• Data Protection Frameworks and Policies
• Data Quality Dimensions (Accuracy, Completeness, Consistency, Timeliness, etc.)
• Data Quality Assessment and Improvement Techniques
• Data Cleansing, Profiling, and Standardisation
• Identifying and Managing Data Risks
• Risk Assessment Frameworks and Methodologies
• Risk Mitigation Strategies
• Incident Response and Data Breach Management

DAY FOUR: DATA INTEGRATION, INTEROPERABILITY, AND MASTER DATA MANAGEMENT (MDM)

• Data Integration Concepts and Practices
• Data Integration Technologies: ETL (Extract, Transform, Load), Data Virtualisation, APIs
• Interoperability Standards and Protocols
• MDM Frameworks and Methodologies
• Implementing MDM
• Data Stewardship and Governance in MDM
• Introduction to Metadata and Its Role in Data Management
• Types of Metadata: Business, Technical, Operational
• Metadata Management Tools and Techniques
• Reference Data Management and Standardisation

DAY FIVE: BUSINESS INTELLIGENCE, ANALYTICS, AND EXAM PREPARATION

• Business Intelligence (BI) and Analytics
• BI Tools and Technologies: Dashboards, Reporting, Data Visualisation
• Data Analytics Techniques: Descriptive, Predictive, and Prescriptive Analytics
• Role of BI in Data-driven Decision-making
• Overview of Data Management Tools and Software
• Selecting the Right Tools for Data Management Tasks
• Trends and Innovations in Data Management Technology
• Overview of the CDMP Exam Structure and Format
• Review of Key Topics and Practice Questions
• Tips and Strategies for Successful Exam Preparation
• Mock Exam to Simulate the CDMP Exam Experience