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Course Outline
INTRODUCTION TO DAMA
- Definition of data management and its strategic importance to federal operations.
- Overview of core data management disciplines.
- The Data Management Association (DAMA) and the Data Management Body of Knowledge (DMBoK) 2.0, including alignment with broader frameworks such as TOGAF and COBIT for government agencies.
- Summary of professional certifications available through DAMA, specifically the Certified Data Management Professional (CDMP).
DATA GOVERNANCE
- Definition of data governance and its significance to organizational accountability; presentation of a standard reference model.
- Primary roles in data governance: data owner, steward, and custodian.
- Functions of the Data Governance Office (DGO) and coordination with the Project Management Office (PMO).
- Distinctions between data governance and IT governance and their implications for federal oversight.
- Impact of various regulations on data management practices relevant for government entities.
- Essential steps organizations must take to ensure compliance with existing and emerging regulatory requirements.
- Strategies for initiating, sustaining, and maturing a comprehensive data governance framework.
DATA LIFECYCLE MANAGEMENT
- Proactive strategies for managing data throughout its entire lifecycle.
- Distinctions between the data lifecycle and the Systems Development Lifecycle (SDLC).
- Key governance checkpoints integrated within the data lifecycle.
METADATA MANAGEMENT
- Definition of metadata and its critical role in information management.
- Classifications, applications, and sources of metadata.
- The relationship between metadata architecture and business glossaries.
- How metadata serves as the foundational mechanism for data governance and standardization.
DG MINI PROJECT
- Foundational requirements for launching a Data Governance Program; development of a business case aligned with strategic objectives for government use.
DOCUMENT RECORDS & CONTENT MANAGEMENT
- Strategic importance of document and records management in the public sector.
- Distinctions between taxonomy and ontology.
- Legal and regulatory frameworks governing records and content management for federal entities.
DATA MODELING BASICS
- Types of data models, their applications, and interrelationships.
- Development and implementation of data models across enterprise, conceptual, logical, physical, and dimensional layers.
- Maturity assessments for model utilization and integration within the System Development Life Cycle (SDLC).
- Application of data modeling principles to big data environments.
- The critical role of data modeling in supporting data governance, supported by business case studies.
DATA QUALITY MANAGEMENT
- Dimensions of data quality and clarification of the distinction between validity and overall quality.
- Policies, procedures, metrics, technological tools, and resource requirements for maintaining data quality.
- Application of a data quality reference model to organizational processes.
- The interconnection between data quality management and data governance, illustrated through case studies.
DATA OPERATIONS MANAGEMENT
- Essential roles and operational considerations for effective data management.
- Best practices for executing data operations within government agencies.
DATA RISK & SECURITY
- Identification of threats and implementation of controls to prevent unauthorized access, misuse, or loss of data, with specific attention to personally identifiable information (PII).
- Identification of risks associated with data utilization beyond security concerns.
- Data management compliance considerations for regulations such as GDPR and BCBS239, applicable to international or cross-border government operations.
- The function of data governance in enhancing data security management frameworks.
MASTER & REFERENCE DATA MANAGEMENT
- Distinctions between master data and reference data.
- Identification and enterprise-wide management of master data assets.
- Four primary Master Data Management (MDM) architectures and their suitability for different operational contexts for government programs.
- Incremental implementation strategies for MDM aligned with organizational priorities.
- Case study: Statoil (Equinor).
DATA WAREHOUSING, BUSINESS INTELLIGENCE & DATA ANALYTICS
- Definition of data warehousing and business intelligence and their necessity for informed decision-making.
- Major data warehouse architectural approaches (Inmon vs. Kimball).
- Introduction to dimensional data modeling techniques.
- Factors contributing to Master Data Management failure in the absence of robust data governance.
- Application of data analytics, machine learning, and data visualization tools for government insight generation.
DATA INTEGRATION & INTEROPERABILITY
- Business and technological challenges addressed by data integration efforts.
- Distinctions between data integration and data interoperability in federal systems.
- Integration and interoperability styles, their applicability, and operational implications for government infrastructure.
- Guidelines and approaches for delivering secure data integration and access services.
35 Hours
Testimonials (7)
Very engaging
Samieg - Vodacom
Course - Certified Data Management Professional (CDMP)
it was very interactive and although I was not exposed to some modules before, Gaurav made it easy to understand. Good Participation in the team
UVASH - Vodacom
Course - Certified Data Management Professional (CDMP)
The training covered all the areas that were required. Very Insightful.
Carol - Vodacom
Course - Certified Data Management Professional (CDMP)
Material was covered according to the weight of the exam's marks. gave a better understanding of this course. Quizes helped a lot
Saika - Vodacom
Course - Certified Data Management Professional (CDMP)
Quizzes to test our knowledge and white board work kept us engaged.
Paula Dunsby - Vodacom
Course - Certified Data Management Professional (CDMP)
The instructor was very simple and clear on the point of the course
Mohamed - Dubai Government Human Resources Department - DGHR
Course - Certified Data Management Professional (CDMP)
Practical knowledge of the trainer
