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Multi-Custodian Data Aggregation

Decoder

Reconciling a single client across N private banks + N brokers + N funds is impossible to align — Ginkgo Data Feed + data API + AI email all unified into one database.

SCENARIO

Business Scenario

Family office clients hold assets across multiple types and providers — N private banks, N brokers, N fund managers — each with different formats / fields / keys / valuation conventions. Traditional Excel consolidation cannot reconcile cross-source positions, monthly reporting cycles are long, and AUM aggregation figures regularly have gaps. The larger the client, the more fragmented the data sources; the largest family offices need this consolidation layer the most.

MECHANISM

Mechanism · Core Engine

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Decoder

Three-track parallel ingestion — custodian Data Feed (standard protocol) + data API (REST / FIX etc.) + AI email parsing (fallback) — with unified field mapping + key normalisation + valuation convention standardisation, enabling automatic cross-custodian position consolidation.