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  • Ellipse Overview
  • Phases of Ellipse
  • Background
    • Challenges of Regulatory Reporting
    • Possible Solutions
    • Digital Reporting and Granular Data
    • Understanding Data Needs of Stakeholders
  • Ellipse Phase 1: Proof of Concept
    • Two Jurisdictions, One Common Data Model
    • Cross-Border Data Model using Retail Mortgage Loans
    • Data Components for Retail Mortgages
    • Data Attributes
    • Data Definitions
    • Using the Common Domain Model (CDM)
    • Normalising Common Components
    • CDM Mortgage JSON
    • Programmable Reporting Logic and Machine Executable Reports
    • VIDEO: Demonstration of the Mortgage CDM
    • Our Findings
    • Next Steps
  • Annex
    • Terminology & Acronyms
    • References
  • About
    • Contact the Ellipse Team
  • LEGAL
    • Terms and Conditions of Use
    • Privacy Notice
    • Cookies Notice
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  1. Ellipse Phase 1: Proof of Concept

Our Findings

Project Ellipse explores the feasibility of cross-border digital reporting. This POC is intended as a first step towards bringing authorities and stakeholders closer to a common understanding of data that is collected by authorities globally.

Our exploration confirms that:

  • Regulatory reporting requirements can be expressed in unambiguous machine-readable logical reporting instructions underpinned by a consistent data model;

  • Technical standardised programmatic specifications of the steps for generating regulatory reports can be published alongside regulation and ensure clear understanding at the most granular level of the expected data;

  • Executable libraries can be automatically generated and published alongside regulations to assist accelerated implementation;

  • If a common data standard was agreed to and implemented, financial institutions may no longer need to interpret reporting instructions and submit aggregated data by use case; and

  • With additional logical instruction based on the same data model, supervisors may also be able to automatically query the underlying transaction data and generate regulatory metrics referencing that standardised data.

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Last updated 3 years ago

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