Liquidity data reconciliation
Treasury receives balances and cash-flow projections with inconsistent cutoffs and product classifications.
The challenge behind the workflow.
Treasury receives balances and cash-flow projections with inconsistent cutoffs and product classifications.
Connect customer, account, transaction, and finance data so operations and risk teams can work from consistent definitions. These workflows address fragmented systems, time-sensitive exceptions, and decisions that need a clear evidence trail.
Data to bring together
- Account balances
- Cash-flow forecasts
- Treasury reference data
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Normalize valuation dates, currency codes, product categories, and ownership across feeds.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Reconcile totals and isolate late records or unmatched classifications before aggregation.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish a controlled liquidity dataset with exceptions and the reconciliation status.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A reconciled treasury dataset
Make the next run easier.
Central mappings make recurring treasury submissions easier to reproduce and review.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Unresolved reconciliation items at the reporting cutoff
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Treasury owners approve assumptions and the reporting perimeter before figures are distributed.
AI with professional judgment.
Use AI to summarize evidence and explain exceptions. Credit, account restrictions, and financial-crime decisions remain subject to authorized review.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.