Data stewards and data managers can view, manage, and create
relationships between different data types.
Relationships are tightly integrated with data resolution
so data stewards can be certain that the relationships they are managing
are based on a single trusted view of the data. This integration further
benefits data stewards through visual alerts that records involved
in relationships may have data quality issues – data stewards can
navigate between relationship and data resolution to ensure they are
making business decisions with the best data possible.
There are two primary categories of relationships that must be
managed:
- Reflexive, peer-to-peer – an example of this relationship
type would be 3 different entities that are in a group. Another example
is a traditional Identity with representation from two or more entities.
- Non-reflexive – this includes two basic subtypes:
- Parent-child – such as in a hierarchy.
- Order relevance – such as an individual at an organization.
Entity to entity relationship types
- Family relation – all relevant records may be from the
same or different sources and of the same record type, but may have
relationships that are with positional relevance.
EX:
There are 4 records: Adult male, Adult female, Boy, and Girl. There
are 6 different relationships between them.
- Non-peer association – this is a classic many-to-many entity
relationship because an individual may have zero-to-many relationships
with Organizations, and an Organization may have zero-to-many relationships
with individuals.
- Peer-to-peer relationships – these are groupings of entities
with no positional context in their relationship. It is an effective
way to establish a group or collection of entities.
Within InfoSphere® MDM
Inspector,
users will be able to view relationships, and review and resolve tasks.