Reg-X Accuracy – Regulatory Data Assurance Reg-X Accuracy helps financial institutions ensure that their regulatory reporting data is not just submitted, but correct, complete, and defensible. In today’s regulatory environment, submission alone is no longer sufficient. Regulators expect firms to demonstrate the accuracy, completeness, and control of their reported data. This has shifted the focus from reporting activity to reporting assurance. Firms are now required to evidence not only what has been reported, but also the quality, lineage, and integrity of the underlying data. This expectation is particularly relevant under regimes such as EMIR Refit and MiFIR, where data quality, reconciliation, and consistency are subject to increased scrutiny. Reg-X Accuracy addresses this requirement by providing a structured approach to validating, reconciling, and continuously testing regulatory data across its lifecycle. The solution is designed to identify issues both before and after submission, enabling firms to detect inaccuracies early, resolve breaks efficiently, and maintain confidence in their reporting outputs. It also provides the transparency required to evidence data quality and control to internal stakeholders and regulators, reducing the risk of regulatory challenges, remediation programmes, and operational disruption. Key capabilities include: 1. Pre-submission validation: Identify inaccuracies, missing fields, and rule breaches before reports are submitted, reducing rejection risk and avoiding costly downstream corrections. 2. Reconciliation across counterparties and repositories: Detect mismatches, breaks, and inconsistencies across reporting entities, improving alignment and strengthening overall data integrity. 3. Data completeness and control checks: Ensure that all reportable trades and required fields are captured accurately, reducing gaps and supporting full regulatory coverage. 4. Ongoing assurance and monitoring: Continuously test and monitor reporting data to identify emerging issues as reporting evolves, enabling a proactive rather than reactive approach. 5. Audit-ready transparency: Provide clear, structured evidence to demonstrate data accuracy, control, and compliance, supporting both internal governance and external regulatory expectations. Reg-X Accuracy is built on a simple principle: accepted reports are not always accurate. By embedding validation, reconciliation, and control into the reporting lifecycle, it enables firms to move from reactive issue resolution to a proactive, controlled, and measurable approach to data quality. This shift allows firms to better manage regulatory expectations while improving internal confidence in reporting outputs. Designed for firms operating under regimes such as MiFIR, EMIR Refit, SFTR, and other global reporting obligations, Reg-X Accuracy helps reduce regulatory risk, improve confidence in reported data, and strengthen reporting governance. As reporting complexity continues to increase across jurisdictions, it provides a scalable and consistent framework to maintain control, improve operational efficiency, and support evolving regulatory expectations.