Diploma in Governance, Quality and Operational Data Catalog

9.9 Definition of Data Governance in the Naval Context
9.9 Importance of Governance for Information Quality and Security
9.3 Naval Data Structure: Types, Formats, and Sources
9.4 Identifying Roles and Responsibilities in Data Management
9.5 Data Governance Principles: Accessibility, Transparency, Accountability

9.9 Fundamentals of Data Quality: Accuracy, Integrity, Consistency, Timeliness
9.9 Methods for Validating and Verifying Naval Data
9.3 Detecting and Correcting Data Errors
9.4 Key Performance Indicators (KPIs) for Data Quality
9.5 Strategies for Improving Data Quality in the Long Term

3.9 Introduction to the Operational Data Catalog: Purpose and Benefits
3.9 Designing and Creating an Effective Data Catalog
3.3 Metadata: Description, Lineage, and Context of Data
3.4 Tools and Platforms for Managing Data Catalogs
3.5 Maintaining and Updating the Catalog: Ensuring its Relevance

4.9 Regulatory Framework and legal framework for naval data governance
4.9 Design and implementation of data governance policies and procedures
4.3 Risk management and regulatory compliance
4.4 Monitoring and auditing of data governance
4.5 Continuous improvement of data governance: PDCA cycles

5.9 Data quality planning: strategies and tools
5.9 Implementation of quality controls in data capture and storage
5.3 Data cleansing and transformation techniques
5.4 Monitoring and reporting of data quality
5.5 Continuous improvement of data quality: processes and automation

6.9 Design of the operational data catalog: structure and components
6.9 Population and updating of the catalog: data sources and processes
6.3 Access and permission management in the catalog
6.4 Use of the catalog for decision-making and analysis
6.5 Integration of the catalog with other platforms and systems

7.9 Laws and regulations applicable to naval data
7.9 Compliance with personal data protection
7.3 Security of Data and Cybersecurity in the Naval Environment
7.4 Compliance Audits and Legal Risk Management
7.5 Liability and Consequences of Regulatory Non-Compliance

8.9 Data Management Tools: Selection and Use
8.9 Naval Data Analysis and Visualization Platforms
8.3 Large-Scale Data Storage and Processing Technologies
8.4 Artificial Intelligence and Machine Learning in Naval Data Analysis
8.5 Future Trends in Naval Data Tools and Technologies

8.5 Future Trends in Naval Data Tools and Technologies