Data Completeness
Data completeness measures whether a record contains enough information to be actionable.
Definition
Definition Data completeness refers to the presence of essential fields within a record. For family offices, this typically includes entity identification, role-linked contacts, geographic context, and mandate signals. Context A record may be accurate but incomplete. Missing decision-makers, mandate indicators, or contact paths limit the practical value of the data for research and outreach. Why It Matters Incomplete records increase friction and reduce conversion. Completeness determines whether a dataset can support real workflows rather than reference-only use. Key Takeaways Completeness is distinct from accuracy Missing fields reduce usability Actionability depends on completeness Quality datasets balance both dimensions