Multi-entity firms — rollups, aggregators, franchise networks — inherit a different stack from every entity they add. Compliance and oversight reporting means collecting inconsistent spreadsheets from each one, normalizing them by hand, and hoping nothing was missed. Each acquisition makes the problem worse.
The firm's view of its own compliance posture lags reality by weeks, which is exactly the gap examiners ask about.
One agreed definition per KPI, with an owner. Dashboards argue less when definitions are settled first.
This architecture defines one canonical data model for the records that matter — accounts, filings, attestations, exceptions — and builds per-entity pipelines that map each source system into it. A completeness dashboard shows, per entity, what has arrived, what's missing, and what failed validation. Recurring oversight reports generate from the model on schedule.
New entities onboard through the same documented mapping process, so the system compounds instead of fragmenting.
If a metric matters to a decision, it must come from a source system — not a spreadsheet someone remembers to update.
Design principle
One view of completeness and exceptions across every entity, updated on schedule rather than assembled per request. Analysts chase actual gaps instead of chasing spreadsheets. The mapping documentation doubles as the onboarding runbook for the next acquisition.
A system you can't operate without the vendor isn't an asset. Ownership is part of the deliverable.
Design principle