Features — Data Confidence & Lineage

Every number in Manta has a source. And you can always find it.

A financial model is only as trustworthy as the data behind it. Manta is built on the principle that every figure in every report, every P&L line, every forecast input, should be traceable to its origin. No black boxes. No unexplained variances. No numbers that exist only in the model and nowhere else.

The Problem This Solves

A number you cannot explain is a number you cannot defend.

The CFO who cannot answer “where did this number come from?” in a board meeting is in a difficult position, not because the number is wrong, but because they can't prove it is right. That situation is almost always the result of a financial model built from manual exports, assembled in layers, where the connection between the output and the source data has been broken somewhere in the process. Manta is built so that connection is never broken.

  • A figure in a board pack that traces back to a manually assembled spreadsheet carries the risk of a stale export, a broken formula, or a calculation that cannot be independently verified.
  • Variance explanations that require a separate manual investigation delay the insight and introduce the possibility of error in the analysis itself.
  • When multiple data sources feed a single financial model, reconciliation gaps where the model and the accounting system disagree are almost inevitable without a deliberate architecture to prevent them.
  • An audit or investor due diligence process that requires manual reconstruction of how a number was derived is a significant operational burden and a reputational risk.

Core Capabilities

Source traceability. GL reconciliation. Audit trail. Data validation.

TRACE EVERY NUMBER

From the P&L summary to the source transaction. In seconds.

Every figure in the Manta financial model is linked to the data that produced it. A gross margin figure on the P&L traces to the revenue, COGS, and cost entries that make it up. A trade deduction line traces to the specific deduction statement, the line item on that statement, and the promotion it was matched to. A cash forecast input traces to the settlement schedule, payment terms, or open PO that generated it. The chain of custody from output to origin is always intact and always accessible.

  • Drill through from any summary figure to the underlying detail — transactions, invoices, settlements, deduction lines, and accounting entries.
  • Every P&L line traceable to its source data: revenue to settlement records, COGS to purchase orders and invoices, deductions to retailer statements and matched promotions.
  • Every cash forecast input traceable to its source: AR aging records, open POs, accrued trade spend, and retailer payment history.
  • Source data retained and accessible, not overwritten or aggregated away, so the audit trail is always complete.

RECONCILED AGAINST THE BOOKS

The management model and the accounting system tell the same story.

A management P&L that does not reconcile to the accounting general ledger is a parallel universe useful for operational decisions, but impossible to rely on for financial reporting, audit, or investor purposes. Manta reconciles the management model against the GL continuously. When the two diverge because of a timing difference, a classification difference, or a data gap, the variance is surfaced immediately, with the specific accounts and amounts identified. Your CFO knows the model is clean before anyone asks.

  • Continuous reconciliation between the Manta management model and the accounting GL — QuickBooks, NetSuite, Xero, or Sage Intacct.
  • Reconciliation variances surfaced automatically with the specific GL accounts, periods, and amounts involved.
  • Timing differences — accruals, deferred revenue, and prepaid expenses — identified and explained separately from classification differences.
  • Reconciliation status visible at any time: your CFO knows whether the model is reconciled before opening a board meeting or an investor call.

COMPLETE AUDIT TRAIL

Every change recorded. Every decision documented.

Financial models change — assumptions are updated, classifications are revised, historical data is corrected. In Manta, every change to the model is logged: what changed, when it changed, who made the change, and what the value was before and after. The audit trail is complete, immutable, and available at any time. When an auditor, an investor, or a board member asks why a number changed between two reports, the answer is in the system, not in someone's memory.

  • Every change to the financial model logged with timestamp, user, field, prior value, and new value.
  • Report generation history recorded — when each report was built, what data it was generated from, and who requested it.
  • Data ingestion log maintained for every connected source — when data was received, what it contained, and how it was processed.
  • Audit trail exportable in standard formats for external audit, investor due diligence, or internal review.

CLEAN DATA IN. RELIABLE MODEL OUT.

Data quality issues surfaced before they reach the model.

A financial model is only as reliable as the data that feeds it. Manta applies validation rules at the point of ingestion, before data enters the model, to identify anomalies, duplicates, missing values, and format inconsistencies. When a data quality issue is detected, it is flagged for review rather than silently passed through to the model. Your CFO works with a model that has been validated, not one that has been assumed to be correct.

  • Validation rules applied at ingestion: duplicate transaction detection, missing required fields, value range checks, and format consistency verification.
  • Data quality issues flagged before they enter the model — with the specific record, field, and issue identified.
  • Anomaly detection for unusual values: a settlement amount that is significantly outside the historical range, a deduction that exceeds the gross invoice value, or a freight cost that is inconsistent with the shipment size.
  • Data quality dashboard available at any time — your team sees the health of every connected data source and the status of any open validation issues.

What Confidence Looks Like in Practice

Three situations where data confidence changes the outcome.

The Board Meeting

A board member questions a gross margin figure that is lower than the prior quarter. Your CFO opens Manta, drills from the summary to the underlying detail, and shows the specific deductions from two retail accounts that drove the decline, with the source statements attached. The question is answered in the room, in real time, without a follow-up action item.

The Investor Due Diligence

An investor requests three years of audited management accounts reconciled to the GL. Manta exports the full audit trail, every figure, every source, every reconciliation, in the format the investor's team requires. The process that would have taken weeks of manual reconstruction takes hours.

The Internal Discrepancy

The finance team notices that the management P&L and the accounting system show different gross revenue figures for the same period. Manta surfaces the reconciliation variance automatically, a timing difference in how Amazon settlements are recognized, with the specific accounts and amounts. The discrepancy is resolved before it reaches a report.

Security & Compliance

The model is secure. The data is yours.

All financial data is encrypted in transit and at rest. Access controls are role-based — your CFO, finance team, and any external advisors see exactly what they need and nothing more. Manta does not share, sell, or use customer financial data for any purpose outside of delivering the Manta Finance service.

  • Role-based access controls — define who can view, edit, and export data at the user, team, and report level.
  • Data encryption — all data encrypted in transit (TLS 1.2+) and at rest (AES-256).
  • Data residency — financial data stored in the region your team specifies. Custom data security arrangements available for Portfolio customers.
  • No third-party data sharing — your financial data is never used to train models, benchmark against other customers, or shared with any third party.

A financial model you can stand behind, in any room, in front of any audience.

Every engagement begins with a conversation, not a contract.