Define keys, matching logic, duplicates, missing records and ambiguous cases
Data reconciliation and controls
Turn conflicting numbers into a controlled exception process.
We match records, reconcile transactions and totals, define tolerances and trace differences back to their causes so teams can see what is wrong, what matters and what needs attention.
Discuss your reconciliation challengeSee what you receive
Traceable controls · Practical exception management
Compare transactions, totals, periods, tolerances and expected balances
Route exceptions to owners and preserve the evidence behind each resolution
The problem
A difference is only useful when the team can explain it.
Conflicting totals are often treated as a final reporting problem, but the cause may sit in identifiers, timing, scope, status, currency, duplication or a transformation earlier in the flow.
We separate genuine business differences from data-quality and process issues, then create controls that make the remaining exceptions visible and actionable
Which records belong together?
Set keys, tolerances, duplicate logic and treatment of unmatched rows
Where do the totals diverge?
Reconcile periods, transactions, balances, quantities and expected relationships
Who needs to act and why?
Classify causes, assign owners, track decisions and retain the audit trail
Typical inputs and outputs
Controls that make the next difference easier to handle.
The workflow can support recurring operational checks, partner reporting, finance controls or analytical datasets
Keys, standardization, tolerances, duplicate rules and treatment of ambiguous records
Comparison of records, transactions, totals, periods and expected relationships
Classified differences with owners, priority, status, evidence and next action
Definitions, assumptions, audit trail, root-cause patterns and operating guidance
Tools and system boundaries
Use the right level of control for the decision.
Controls can be implemented through structured spreadsheets, reporting models, database queries or existing workflow tools. The right design depends on frequency, risk, volume, ownership and the consequences of an unresolved difference.
Related thinking
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