Data Governance:

Focuses on the policies, roles, responsibilities, and processes that ensure data is properly managed across the organisation.

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Data Architecture Management:

Involves defining the structure and integration of data assets, aligning data architecture with business strategy.

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Data Strategy & Data Management Program:

Guides the overall direction and priorities of data management across all knowledge areas.

Data Quality Management:

Ensures data is accurate, consistent, and reliable by defining and enforcing data quality standards.

 

Data Security Management:

Protects data through policies and procedures, ensuring confidentiality, integrity, and availability.

 

Reference & Master Data Management:

Manages key data entities to ensure consistency across systems (e.g., master data for customers, products).

Data Modeling & Design:

Covers the design and development of data structures, including databases and data models, in alignment with business needs.

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​Data Storage & Operations:

Focuses on the day-to-day management of data, including storage, backups, and performance.

   

Document & Content Management:

Manages unstructured data, such as documents and multimedia content, ensuring it's organised, accessible, and stored properly.

Data Warehousing & Business Intelligence:

Involves collecting, integrating, and analysing data to support decision-making and reporting.

   

Metadata Management:

Manages data about data, such as definitions, lineage, and ownership, to support better data understanding and usage.

   

Data Integration & Interoperability:

Ensures seamless data exchange between systems, platforms, and applications to create a unified view of data.