IT & Records · Short course
Data Management Fundamentals
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…
The programme
Programme overview
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.
Ratomac 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.
Who should attend
Who is this programme for?
- Information Managers
- Information Architects
- Data Architects
- Enterprise Architects
- MDM Managers
- Data Governance Managers
- Data Quality Managers
- Information Quality Practitioners
- Business Analysts
- Executives
- Technology Leaders
Learning outcomes
What you will learn
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
Explore the programme
Detailed programme outline
- Introduction to the DMBoKPurpose and audience of the DMBoKChanges in DMBoK 2.0 and its relationship with other frameworks (TOGAF / COBIT)Overview of DAMA CDMP
- Data GovernanceImportance of Data GovernanceTypical Data Governance (DG) reference modelDG roles & responsibilities, the role of the Data Governance Office (DGO), and its relationship with the PMOGetting started with Data Governance
- Data Quality ManagementDimensions of Data QualityPolicies, procedures, metrics, technology, and resources for ensuring Data QualityData Quality reference modelTools to support Data Quality management
- Master & Reference Data ManagementDifferences between Reference and Master DataManaging Master Data across the enterpriseMDM architectures and their suitabilityMDM maturity assessment and business proceduresIncremental implementation of MDM
- Data Warehousing & BI ManagementProvision of Business Intelligence (BI) and managing data for BI solutions and Data WarehousesTypes of BI, DW, and Analytics
- Data Modelling & Metadata ManagementMetadata repositories and business user accessDevelopment and use of data modelsMaturity assessment and integration in the System Development Life Cycle (SDLC)
- Data Integration & Architecture ManagementBusiness and technology issues addressed by Data IntegrationStyles of Data Integration and their applicabilityApproaches and guidelines for Data IntegrationConsideration of P2P, ETL, CDC, Hub & Spoke, SOA, Data Virtualization
- Data Lifecycle ManagementPlanning for Data management across its lifecycleMaturity assessment of Data Lifecycle Management
- Data Risk Management, Security & PrivacyIdentifying threats and defences for data protectionExploration of threat categories, defence mechanisms, and implications of security breachesRisk identification and mitigation
- Regulatory CompliancePolicies and assurance processes for complianceAdapting to changing legal and regulatory requirementsApproaches to regulatory compliance and understanding sanctions
- Data Management Tools & RepositoryCategories of tools supporting Information Management disciplinesSelecting appropriate toolsetsExample policy for technology use to ensure consistency and interoperability
Learning approach
How you will learn
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.
Discuss your requirements
Dates, duration & arrangements
Contact Ratomac to confirm dates, duration, delivery format, entry requirements and any applicable assessment or certification before booking.
Enquire about this programme