Client reporting data preparation
Client reports are assembled from inconsistent position, transaction, and account extracts.
The challenge behind the workflow.
Client reports are assembled from inconsistent position, transaction, and account extracts.
Connect trades, positions, prices, reference data, and client reporting with consistent timestamps and definitions. Help operations, risk, and finance review discrepancies using reproducible analytical inputs and explicit approval boundaries.
Data to bring together
- Client account records
- Portfolio positions
- Transaction histories
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
Map accounts to approved reporting scopes and effective ownership references.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Reconcile report datasets and flag missing or inconsistent information.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish a controlled client reporting dataset with lineage and review status.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A client reporting dataset
Make the next run easier.
Reusable report models reduce bespoke preparation for each reporting cycle.
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
Time preparing a reconciled client report
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Authorized teams approve access, calculations, and client disclosures.
AI with professional judgment.
Use AI to explain data differences and draft investigation notes. Investment, valuation, trade, and compliance decisions remain with authorized professionals.
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.