Conceptual data modeling is the process of creating a high-level representation of an organization's data and its relationships, focusing on the business requirements rather than technical implementation. It serves as an abstract blueprint that identifies entities, attributes, and relationships, helping stakeholders understand the structure and meaning of data within a specific context. The model, often depicted through diagrams like Entity-Relationship (ER) diagrams, is technology-agnostic and is primarily used to communicate and align with business goals before transitioning to more detailed logical and physical data models.