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Success Story

Proven Output Parity and Field-Level Regression for Unencumbered Collateral Regulatory Reporting

The Client

This leading investment management firm operates under strict regulatory transaction reporting requirements, submitting accurate reports across a broad range of instruments and counterparty types within tight regulatory deadlines. Failures in eligibility determination, field enrichment, or data quality translate directly into regulatory breaks, rejection notices, and reputational risk with the regulator.

The Challenge

The firm’s UCC collateral-reporting application had become dependent on a legacy data source that was being retired, creating an urgent requirement to re-platform the application and reproduce identical regulatory outputs from a new enterprise warehouse. With output parity a regulatory necessity and no automated baseline to prove it, the migration carried significant compliance risk at every step.

  • Legacy Source Retirement:

    The heritage collateral-reporting application was tied to a legacy data source approaching end of life, requiring full re-platforming to a new enterprise warehouse and migrated sources.

  • Non-Negotiable Output Parity:

    Regulatory reporting required the new system to reproduce the same collateral outputs exactly, any deviation risked regulatory misstatement with no acceptable margin for error.

  • No Automated Baseline Comparison:

    There was no automated mechanism to prove that new pipeline outputs matched the legacy baseline, making manual reconciliation the only available validation approach.

  • Recurring Source and Warehouse Changes:

    Ongoing changes to the enterprise warehouse and migrated sources meant that a one-time assurance approach would not be sufficient, a repeatable regression capability was essential.

  • Governance and Auditability Requirements:

    Regulatory returns required full auditability of every collateral position from source to submission, with lineage capable of evidencing data provenance on demand.

The Impact

  • Parity Reproduced outputs reconciled to field level.
  • Field-Level Regression against legacy baseline.
  • Reusable Automation pack for future changes.

The Solution

Hoonartek re-platformed the UCC collateral-reporting application to the new enterprise warehouse and migrated sources, rewriting data pipelines in Ab Initio DevFac while preserving all regulatory outputs with full fidelity. Field-level regression was designed and executed to reconcile every output from the new system against the legacy baseline, providing the automated proof of parity that manual reconciliation could not deliver.

A reusable automation pack was built to regression-test future UCC reporting changes, giving the firm a repeatable assurance capability that de-risks every subsequent change to source systems or the enterprise warehouse. Hoonartek captured end-to-end lineage in Metadata Hub across the full collateral reporting chain, providing auditable evidence of every position from data origin to regulatory submission. The DevFac delivery discipline was embedded throughout, ensuring controlled, repeatable execution for all future reporting releases.

Key Benefits

  • Proven Output Parity:

    Regulatory collateral outputs reproduced exactly from the new source and reconciled to field level against the legacy baseline before sign-off, eliminating compliance risk from the migration.

  • Regression-Assured:

    Field-level regression confirmed that every output matched the legacy baseline, providing the auditable evidence required for regulatory sign-off.

  • Reusable Test Pack:

    Automated regression capability de-risks all future changes to UCC reporting, from source updates to enterprise warehouse changes, without requiring full re-validation from scratch.

  • Fully Auditable:

    Metadata Hub lineage evidences every collateral position across the full reporting chain, supporting regulatory audit on demand.

  • DevFac Discipline Embedded:

    Repeatable, controlled delivery is established for all future UCC reporting releases, reducing execution risk and shortening future assurance cycles.

Industry

Financial Services – Wealth & Investment Management

Region

United Kingdom

Company Size

2,000+

Parity

Outputs reproduced and reconciled to field level from the new source

Field-Level

Regression, new outputs matched to legacy baseline before sign-off

Reusable

Automated test pack de-risking all future UCC reporting changes

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