Source inventory
Catalogue data, owners, frequency and permissions.
DATA, RISK & PERFORMANCE
A governed data foundation for fund operations.
Collect, map, normalise and validate fragmented operating data so teams stop rebuilding the same spreadsheet every reporting cycle.
Overview
Data aggregation brings information from providers, systems, files and documents into a reusable governed dataset. Sources can include administrators, custodians, prime brokers, banks, OMS/PMS, market-data vendors, portfolio companies, borrowers, underlying funds and internal spreadsheets.
It is the foundation for reconciliation, portfolio reporting, risk, performance, management reporting and AI-enabled operations.
Our capabilities
Ingestion
Connect files, APIs, databases and documents.
Mapping
Standardise identifiers, entities, accounts and fields.
Harmonisation
Align units, currency, dates and definitions.
Quality control
Check completeness, duplicates and reasonableness.
Publishing
Release governed datasets to downstream workflows.
Service coverage
Core records
- Administrator files
- Custodian/PB/bank data
- OMS/PMS
- Market/reference data
- Portfolio-company / borrower data
- Underlying fund statements
- Spreadsheets/databases/documents
Operating activities
| Step | Activity | What happens |
|---|---|---|
| 1 | Inventory | Define source, owner, frequency and field meaning. |
| 2 | Ingest | Bring data into controlled staging. |
| 3 | Map | Standardise identities and definitions. |
| 4 | Validate | Run quality/reconciliation checks. |
| 5 | Resolve | Route exceptions to source/owner. |
| 6 | Publish | Release approved dataset with lineage. |
Reporting and oversight
- Source catalogue
- Data dictionary
- Mapped/harmonised dataset
- Quality exception report
- Source lineage
- Reusable reporting/analytics layer
What clients gain
Complete source visibility
Catalogue data, owners, frequency and permissions.
Scalable data ingestion
Connect files, APIs, databases and documents.
Consistent data mappings
Standardise identifiers, entities, accounts and fields.
Reusable harmonised data
Align units, currency, dates and definitions.
Governance and integration
Data Aggregation is delivered through defined responsibilities, controlled records and documented review. Material exceptions, judgements and approvals remain visible and attributable throughout the operating process.
- Source ownership/permissions.
- Field-level lineage.
- No silent transformation rules.
- Versioned mappings/data definitions.
- Reconciliation to authoritative sources.
Expertise and delivery
Experts behind the service.
Relevant professionals support service design, exception review and delivery governance where specialist judgement is required.
Meet our Experts & ProfessionalsTechnology that supports control.
Controlled data, workflow and review capabilities support consistent execution, transparent oversight and traceable evidence.
Explore Technology & ExpertiseConfigured around your operating model.
Services can be delivered through managed operations, technology enablement, co-sourced delivery or transition support.
See How We WorkFrequently asked questions
Is this just a data warehouse project?
It may use a warehouse, but the commercial service is a governed operating-data layer, not infrastructure for its own sake.
Can Excel remain part of the workflow?
Yes. The aim can be to govern/connect existing tools rather than force immediate replacement.
Why does lineage matter for AI?
AI outputs are safer when the underlying source, definition, date and permission are traceable.
Discuss Data Aggregation
Start with one workflow, one operating issue or one provider transition. We will map the current process, responsibility boundaries, required data and a practical first engagement.