Identdims

identdims is a concept used in information systems and data management to refer to the set of attributes or dimensions that uniquely identify a data entity within a particular context. Often called identity dimensions, these attributes are essential for ensuring data consistency, facilitating entity resolution, and supporting relational database design. In a relational database, an identdim typically corresponds to a primary key or a composite key composed of one or more columns that together guarantee uniqueness across a table. In data warehousing, identdims are used to link facts to dimensions and to de-duplicate records in fact tables.

The term gained prominence in the late 1990s as organizations sought to standardize their metadata and data integration practices. Identdims are now a core component of modern ELT pipelines, data lakes, and master data management (MDM) systems. They are also fundamental in business rule engines where unique identifiers determine the flow of data processing. Common examples include a social security number or customer ID in a CRM system, a serial number for manufactured parts, or a transaction ID in financial ledgers.

Using identdims provides several benefits. They enable efficient indexing, improve query performance, ensure referential integrity, and reduce data redundancy. By explicitly defining the dimensions that identify an entity, system designers can avoid ambiguities in data modelling and support robust change management.

Practitioners recommend that identdims be immutable and stable over time, and that they be documented in a data dictionary. The quality of identdims directly influences the accuracy of reporting, analytical models, and business intelligence outputs.