Dataset specification
Define required fields, accountable owners, permitted uses and quality expectations.
DATA, RISK & PERFORMANCE
Create governed period datasets with defined ownership, validation, lineage and version history so approved information can be reused across operations, reporting and oversight.
Reusable controlled datasets are governed data products designed to feed multiple workflows—NAV oversight, regulatory reporting, risk, performance, management reporting—without repeated manual reconstruction.
Define required fields, accountable owners, permitted uses and quality expectations.
Create an approved period snapshot with source lineage and validation evidence.
Provide governed interfaces so one approved dataset can serve multiple workflows.
Retain period snapshots, rule versions, approvals and change history.
| Step | Activity | What happens |
|---|---|---|
| 1 | Design | Define dataset. |
| 2 | Build | Transform approved sources. |
| 3 | Validate | Run quality/reconciliation. |
| 4 | Approve | Lock version. |
| 5 | Reuse | Feed downstream services. |
| 6 | Archive | Retain reproducibility. |
Define required fields, accountable owners, permitted uses and quality expectations.
Create an approved period snapshot with source lineage and validation evidence.
Provide governed interfaces so one approved dataset can serve multiple workflows.
Retain period snapshots, rule versions, approvals and change history.
Reusable Controlled Datasets is delivered through defined responsibilities, controlled records and documented review. Material exceptions, judgements and approvals remain visible and attributable throughout the operating process.
Relevant professionals support service design, exception review and delivery governance where specialist judgement is required.
Meet our Experts & ProfessionalsControlled data, workflow and review capabilities support consistent execution, transparent oversight and traceable evidence.
Explore Technology & ExpertiseServices can be delivered through managed operations, technology enablement, co-sourced delivery or transition support.
See How We WorkIt is the mechanism that allows AI/automation and reporting to scale without rebuilding data every time.
Yes with role-based access and purpose-specific views while preserving the core approved dataset.
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.