Know whether the data supports the analysis.
Data Assurance is analytical confidence infrastructure — not generic pipeline monitoring. It answers whether the evidence base itself can be trusted.
Customer-controlled intake, assured from the first delivery.
Approved customer data enters through a defined, documented implementation scope — typically normalized order and execution records carrying lifecycle status, trader and account identifiers, product and market identifiers, prices, and volumes. Reference-data alignment, identity resolution, and lifecycle mapping fit each delivery to the analytical model, and every delivery is validated against expectations — feeding Data Assurance from day one.
Reconcile every scoped order. Trace every lifecycle message. Verify every surveillance record.
MNC reconciles business coverage across internal OMS platforms and databases, then proves how every enter, amend, delete, and trade message moved through the surveillance processing chain.
Scope rules + reference data
21K coverage exceptions routed to owners
Entity
Desk
Market
Trading day
Expected vs. delivered vs. normalized vs. surveillance-processed.
Gaps between any two stages are exactly where analytical confidence erodes — and exactly what Data Assurance surfaces. MNC is explicit about the boundary: completeness cannot be proven from received data alone; it requires reconciliation against expected source populations.
The questions it answers.
Were all expected entities, desks, markets, and trading days received?
Were message volumes consistent with expectations?
Were lifecycles complete and in sequence — no gaps, duplicates, out-of-order events, or orphan messages?
Were records rejected, quarantined, or incompletely mapped?
Who owns each exception, how long it has aged, and whether resolution and restatement were certified.
Missing data is an analytical risk, not an IT ticket.
Missing populations, message gaps, broken lifecycle sequences, and mapping errors silently distort every downstream conclusion. Data Assurance makes those risks visible — to analysts, not just engineers.