Which aspect of information governance BEST enables an enterprise to avoid duplication of records and promote consistency of data?

Data loss prevention (DLP) focuses on preventing sensitive data from leaving the organization, not on managing data consistency or duplication within internal systems.

Data modeling involves defining the structure, relationships, and constraints of data within a system or across an enterprise, which directly helps in designing databases and systems to prevent redundancy (duplication) and enforce data integrity and consistency rules. By establishing a clear, standardized model, it ensures data is stored and managed efficiently and uniformly.

Blockchain management is a decentralized ledger technology that focuses on immutability and verifiable transactions, not primarily on internal data consistency or preventing general record duplication across an enterprise's varied data assets.

Enterprise architecture (EA) provides a holistic blueprint of the organization's structure, processes, and IT systems, which can include data architecture, but data modeling is the specific activity that directly addresses the structure and consistency of data to avoid duplication.