Data Governance is the ability to assess, manage, use, improve, monitor, maintain, and protect organizational information through a system of decision rights and accountabilities for information-related processes. This skill ensures the establishment of policies and procedures for effective data management, quality control, and compliance. Users proficient in Data Governance contribute to the establishment of a structured framework that governs data usage, safeguards data integrity, and aligns with organizational goals and regulatory requirements.

Data Integration refers to the process of combining data from different sources to provide a unified view. This skill involves techniques and tools that enable the extraction, transformation, and loading of data, ensuring consistency and accuracy across various systems. Knowledge of Data Integration is used to facilitate data analysis, improve decision-making, and enhance operational efficiency by enabling seamless access to comprehensive datasets.

Logical Data Models refers to the structured representation of business data, its entities, attributes, and relationships in a way that is independent of physical storage. It describes how information is organized to support clear communication, analysis, and system design across business and technical teams. In work contexts, it is used to define data requirements, align stakeholders on data meaning, and guide the development of databases and information systems. It helps ensure that data structures reflect business rules and support consistent use of information.

Master Data Management is a comprehensive method of enabling an organization to link all of its critical data to one file, called a master file, that provides a common point of reference. This skill involves the ability to architect master data solutions across various platforms, consolidating content and synchronizing data. It also includes the provision of centralized maintenance of unified data, enabling rich product content management and print publishing. Furthermore, Master Data Management is used to synchronize global data, ensuring consistency and control of master data elements.

Metadata Management refers to the process of organizing, maintaining, and controlling metadata, which is data that provides information about other data. This skill encompasses the creation, storage, and retrieval of metadata to ensure data integrity, accessibility, and usability across various systems. Knowledge of Metadata Management is used to enhance data governance, facilitate data discovery, and support compliance with regulatory requirements by providing a clear framework for understanding data assets.