Intercompany Trade Reconciliation
Ensuring
Razor-sharp
Accuracy
Data analytics plays a critical role in strengthening the organisation’s control infrastructure.
A European Banking Client required an urgent solution to its intercompany reconciliation process that dealt with 1.5 mm trades per month in 70+ systems.
Industry: Banking
Challenges
Multiple Systems
The existing intercompany reconciliation process was a combination of automated reconciliations and manual intervention which was slow, costly and unreliable.
Unreliable
Manual processes had to be used on over a third of the trades.
Unresponsive
In addition, the existing automated process was both opaque and inflexible.
Audit & Operational Risk
The existing intercompany reconciliation process also had an audit point.
Data Solution
Matching Integrity
The matching engine is transparent to users showing the ‘best match’ as well as the matching confidence.
Superior Data
A highly flexible and transparent analytics matching engine was created to replace the client’s existing processes.
Benefits
Execution time improved by a factor of five: a key audit point requirement.
A multi-day process reduced to a few hours.
Audit point resolved.
Match rate improved, match accuracy improved.
Transparency and visibility over the match logic used to derive a given matched pair, increasing ease of audit and error tracing.
Operational risk deficiencies resolved by significantly reducing manual processes.
Reduced sensitivity to input data.
Simpler and more intuitive application.
Removed an Internal Audit point.
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Calimere Point have helped our clients gain value from the data revolution.