Data Management Fundamentals: Learn data lifecycle, governance, and quality. Master modeling, integration, and compliance. Gain practical skills for informed decisions and effective information management.
| Date | Venue | Duration | |
|---|---|---|---|
| 14 - 16 April 2025 | Pretoria | 3 Days | Register Now |
| 18 - 20 June 2025 | Sandton | 3 Days | Register Now |
| 19 - 21 August 2025 | Cape Town | 3 Days | Register Now |
| 12 - 14 November 2025 | Sandton | 3 Days | Register Now |
Effective data management is crucial for organizations to ensure data accuracy, consistency, and accessibility, as well as comply with legal and regulatory requirements. It helps organizations make informed decisions, improves operational efficiency, and enhances customer satisfaction.
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Prospen Africa’s 5-day Data Management Fundamentals course covers all Information Management disciplines defined in the DAMA Body of Knowledge (DMBoK). This course provides a solid foundation across the entire Information Management spectrum. Attendees will gain a firm grounding in core Information Management concepts and learn their practical application through real examples of Information Architecture.
This Data Management Fundamentals course aims to equip you with the knowledge, methods, and techniques needed to analyse, mature, and implement information management solutions within your organization. Topics covered include:
Data Lifecycle Management
Data Integration
Data Governance
Risk, Security, and Regulatory Compliance
Data Quality Management
Business Intelligence and Data Warehousing
The Essential Role of Data Modelling
Master and Reference Data Management
Metadata Management
Learning Outcomes By the end of the course, attendees will:
Understand and apply Information Management disciplines for various challenges
Explore an Information Management framework and its alignment with other architecture frameworks
Learn key concepts such as lifecycle management, normalization, dimensional modelling, and data virtualization
Grasp the importance of Master Data Management and Data Governance and how to apply them effectively
Learn different MDM architectures and their suitability for various needs
Develop practical techniques for information management challenges
Understand best practices for managing Enterprise Information needs
Apply techniques in information architecture planning through practical examples
Information Managers
Information Architects
Data Architects
Enterprise Architects
MDM Managers
Data Governance Managers
Data Quality Managers
Information Quality Practitioners
Business Analysts
Executives
Technology Leaders
Our diverse instructional approaches ensure effective learning:
– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.
Introduction to the DMBoK
Purpose and audience of the DMBoK
Changes in DMBoK 2.0 and its relationship with other frameworks (TOGAF / COBIT)
Overview of DAMA CDMP
Data Governance
Importance of Data Governance
Typical Data Governance (DG) reference model
DG roles & responsibilities, the role of the Data Governance Office (DGO), and its relationship with the PMO
Getting started with Data Governance
Data Quality Management
Dimensions of Data Quality
Policies, procedures, metrics, technology, and resources for ensuring Data Quality
Data Quality reference model
Tools to support Data Quality management
Master & Reference Data Management
Differences between Reference and Master Data
Managing Master Data across the enterprise
MDM architectures and their suitability
MDM maturity assessment and business procedures
Incremental implementation of MDM
Data Warehousing & BI Management
Provision of Business Intelligence (BI) and managing data for BI solutions and Data Warehouses
Types of BI, DW, and Analytics
Data Modelling & Metadata Management
Metadata repositories and business user access
Development and use of data models
Maturity assessment and integration in the System Development Life Cycle (SDLC)
Data Integration & Architecture Management
Business and technology issues addressed by Data Integration
Styles of Data Integration and their applicability
Approaches and guidelines for Data Integration
Consideration of P2P, ETL, CDC, Hub & Spoke, SOA, Data Virtualization
Data Lifecycle Management
Planning for Data management across its lifecycle
Maturity assessment of Data Lifecycle Management
Data Risk Management, Security & Privacy
Identifying threats and defences for data protection
Exploration of threat categories, defence mechanisms, and implications of security breaches
Risk identification and mitigation
Regulatory Compliance
Policies and assurance processes for compliance
Adapting to changing legal and regulatory requirements
Approaches to regulatory compliance and understanding sanctions
Data Management Tools & Repository
Categories of tools supporting Information Management disciplines
Selecting appropriate toolsets
Example policy for technology use to ensure consistency and interoperability
Discover how our courses enhance professionals’ effectiveness in their workplaces.
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