Bázisidszak

Bázisidszak is a term used in Hungarian information technology to describe the preparatory phase in data integration and identity resolution. In this phase, a stable base dataset and a consistent set of identifiers are established to enable reliable subsequent matching and linking of records. The concept appears in areas such as master data management, data quality programs, and identity resolution workflows, where a solid foundational layer is essential for reproducible results.

Etymology and usage notes: the word combines bázis (base) with id(s) (identifiers) and szak (short for szakasz, meaning phase or segment). In practice, it refers to the initial step of structuring, normalizing, and assigning identifiers to data so that later stages can operate on a coherent and traceable core.

Definition and characteristics: the bázisidszak aims to create a canonical, deduplicated, and normalized base set of records. Key characteristics include data ingestion from multiple sources, schema alignment, record normalization, deduplication, deterministic or probabilistic identifier assignment, and metadata tagging to support traceability. The outputs are a base dataset with stable identifiers and accompanying quality metrics that guide subsequent linking and analysis.

Applications and relevance: this phase is foundational for activities such as record linkage, customer data platforms, and enterprise data warehouses. By establishing a reliable base, organizations improve accuracy in matching, reduce inconsistencies, and enable reproducible data transformations across pipelines.

Variants and note: some documentation may refer to the same concept as bázisidőszak or use the composite form bázis-id szakasz. The term is more common in Hungarian IT contexts than in English-language literature.

See also: master data management, data quality, identity resolution, data normalization, record linkage.