A Clearer View of Financial Operations
An example approach to combining financial data, detecting exceptions and supporting treasury decisions with traceable information.
Illustrative solution brief. This is an example approach, not a completed client engagement or a statement of measured results.
The problem to investigate.
Financial teams often reconcile information across disconnected systems. Differences in formats, reporting periods and data quality make it difficult to build a consistent picture.
This exploration considers a shared operational view that helps a team review exceptions while preserving responsibility for financial decisions.
A possible technical approach.
Start with data consistency and review workflows before adding predictive capabilities.
Normalize the inputs
Map source systems, define common identifiers and validate incoming records. Preserve source references for reconciliation.
Surface exceptions
Use agreed rules and evaluated models to highlight discrepancies, with enough context for a person to investigate.
Keep decisions traceable
Record inputs, review actions and approvals. Control access according to the responsibilities of each team.
How a pilot could be evaluated.
Quality
Reconciliation accuracy
Compare records against an agreed reference.
Time
Exception review effort
Measure the time needed to resolve a known discrepancy.
Control
Traceability of changes
Check that important actions can be reconstructed.
Components to consider.
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Explore the approachReady to explore your use case?
Bring your operational problem, current systems and constraints. We’ll help identify the questions to investigate and the first useful milestone.
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