Data governance and approved practices - Khubar 01 November 2024
: 67Brief:
Data governance is a set of practices and processes designed to ensure the formal management of data assets within an organization. It addresses security and privacy, integrity, usability, integration, compliance, availability, roles and responsibilities, and the overall management of data flows both internally and externally within the organization. Data governance involves defining decision-making rights and accountability frameworks to encourage desired behaviors in evaluating, creating, storing, using, archiving, and deleting information. It includes the processes, roles, standards, and metrics that ensure the effective and efficient use of information to enable the organization to achieve its goals.Scientific Themes:
International Data Management Standards
- Introduction to Data Governance and Management.
- Managing Structured and Unstructured Data.
- Data Lifecycle Management (DLM).
- Master Data Management (MDM).
- ISO 8000 - Information and Data Quality.
- Data Management Skills and Responsibilities.
Compliance, Regulations, Data Security, and ISO 27001
- Data Governance and Compliance Standards.
- ISACA Audit Standards.
- General Data Protection Regulation (GDPR) and Privacy.
- Compliance with Document and Records Management.
- ISO 27001 Information Security and Cybersecurity.
Analysis, Analytics, Modeling, and Reporting
- Data Analysis.
- Data Modeling.
- Data Analytics.
- Business Intelligence (BI) Reports.
- Data Mining.
- Management Reporting.
- Business Process Modeling.
- Data Flow Diagrams (DFDs).
Data Governance IT Solutions
- Enterprise Content Management Systems.
- Document and Records Management.
- Data Dictionary, Data Analysis, and Data Mining.
- Relational Databases and Indexing.
- Archiving and Preservation.
Policy, Procedure, and Action Plan Development
- Data Governance Management Policies.
- Developing Data Lifecycle Management Procedures.
- Creating a Data Governance Action Plan.