What is the end result of the unification process for human data?

• A. The matched data appears as records mapped to Individual Data Model Objects (DMO)
• B. This data creates a map of customer locations
• C. The matched data creates a separate object for each piece of data from customers
• D. The matched data appears as profiles in a separate marketing dataset

Answer: (A)

Unification of human data aims to create a single, coherent representation for each person by merging records that refer to the same individual. The end result of this process is that the matched data appears as records mapped to Individual Data Model Objects (DMO). Each DMO represents one person and contains the consolidated attributes, identifiers, and relationships drawn from all sources, providing a unified, consistent view.

Think of DMOs as the single authoritative record for every person, rather than having multiple fragmented pieces or separate datasets. If the data were kept as a map of locations, or as a separate object for every data piece, or as standalone marketing profiles, you’d lose the unified identity and make analytics harder. The unification approach, by mapping matched data to DMOs, preserves a consolidated identity for each individual across sources.