ACORD Expert Data Governance & Quality Management Flashcards
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Read the first 6 ACORD Expert Data Governance & Quality Management flashcards as text
What is the primary goal of data governance in an insurance organization implementing ACORD standards?
Answer: Ensuring data is accurate, consistent, accessible, and protected across its lifecycle
Data governance establishes policies, roles, and processes to maintain data quality, integrity, and security throughout its lifecycle in alignment with ACORD's interoperability objectives.
Which ACORD initiative provides a common data model and dictionary for the property-casualty insurance industry?
Answer: ACORD Property & Casualty Data Model (PCDM)
The ACORD P&C Data Model (PCDM) defines standardized entities, attributes, and relationships for property-casualty data, enabling consistent data exchange and analytics.
What are 'data stewards' responsible for within an insurance data governance framework?
Answer: Owning and enforcing data quality rules for specific data domains
Data stewards are business subject-matter experts accountable for defining, monitoring, and enforcing data quality standards within their assigned data domain.
Which data quality dimension measures whether a data element contains a value when one is required?
Answer: Completeness
Completeness assesses whether required fields are populated; missing values in mandatory insurance data fields (e.g., insured name, policy number) reduce completeness scores.
In the context of ACORD data standards, what is a 'canonical data model'?
Answer: A single, authoritative data representation used to mediate between different systems and formats
A canonical data model serves as the neutral, authoritative hub format that translates between disparate source and target systems, which is the basis for ACORD's interoperability approach.
What is 'metadata management' and why is it important for ACORD-aligned insurers?
Answer: Governing data about data—definitions, lineage, ownership, and usage rules—to ensure meaningful and reliable data exchange
Metadata management captures the context of data elements (meaning, source, transformations, ownership) so that ACORD messages are consistently understood across trading partners.