Archiving
Archiving involves creating, storing and maintaining of objects over time. Objects can be physical, made-digital or born-digital.
Artificial Intelligence (AI)
Artificial Intelligence (AI) uses computers and machines to assist or replace humans in making decisions and problem solving.
Cataloging
Cataloging involves the process of creating and maintaining an inventory of objects that is searchable and retrievable.
Data Governance
Data Governance consists of the people, practices and technology used to ensure that data is managed to increase transparency, security, accessibility and usability.
Data Management
Data Management refers to the practice of gathering, storing, organizing and securing data effectively for an organization.
Digital Asset Management
Digital Asset Management refers to the processes for organizing, storing and retrieving multimedia such as images, audio, video, etc. It also includes managing the rights and permissions for use.
Geographic Information Systems (GIS)
GIS deals with the management, analysis and visualization of data linked to specific locations on Earth. These systems use location as a key to understand data patterns, relationships, and trends.
Metadata
Metadata includes processes for managing, storing and presenting data about data. Metadata can be descriptive, administrative, structural, and more.
Product Management
Product Management involves managing the strategy and vision for a product. Actions of a product managers involve conducting market and user research, developing a product roadmap, and managing the schedule of product features and communicating with product users and stakeholders.
Project Management
Project Management is the planning, organizing and managing tasks and activities to achieve a desired goal or outcome.
Taxonomies, Ontologies, Semantic Layers
Taxonomy deals with the naming, describing, and classifying objects into categories. Taxonomies can be applied in any field and are used to order objects based on their natural properties and characteristics.
Ontologies provide structure to knowledge within a domain by defining the concepts, relationships and rules. They help you understand how information fits together.
Semantic Layers are used to help business users understand raw data. These are typically used for analytical tools to help translate raw data into contextual, business data for users.

