Data Architecture

Data architecture describes logical and physical data structures, integration patterns, lineage, quality rules, and governance boundaries that enable trustworthy information flow. It aligns data domains to business capabilities and application portfolios. Strong data architecture reduces redundancy, regulatory exposure, and analytics friction.

In Practice

Larkinized LLC integrates data architecture with MDM, analytics, and cloud migration programs from the outset. Canonical models and data standards belong in the architecture repository alongside application interfaces. Data architects participate in solution design reviews when entities cross system boundaries.

Example

An enterprise defines a canonical customer model and maps legacy policyholder fields before migrating insurance core systems.