Data quality and regulatory reporting: a growing priority for financial institutions

BANKING AND FINANCE / by Miguel Gallardo Guerra

For many years,regulatory reportingwas viewed primarily as a periodic obligation to submit information. Today, that view is no longer sufficient. In today’s financial environment,data qualityhas become a critical factor in compliance, supervision, and risk management. The reason is simple: the regulatory value of a report depends not only on its timely submission but also on the information being complete, consistent, traceable, and technically usable.

This trend is clearly evident in the draft document submitted for public comment by the Bank of Mexico in late 2025, regarding the provision of information by financial institutions and the designation of individuals as technology liaisons and qualified representatives. The document reflects a more structured view of regulatory data: not as an isolated file, but as part of an ongoing relationship between the entity and the authority, supported by defined roles, clearly assigned responsibilities, secure data exchange, and timely resolution of incidents.

This confirms that regulatory data is no longer merely an administrative requirement. It increasingly serves as a reflection of an organization’s internal control capabilities. When an entity reports information that is inconsistent, incomplete, or difficult to trace back to its source, the problem is not merely one of format. It may reveal deeper weaknesses in data governance, coordination between departments, technology architecture, or internal oversight. In such cases, these deficiencies could result in requests from supervisory authorities to clarify, correct, or resubmit information.

From afinancial and regulatory compliance perspective, this requires a rethinking of several processes. It is not enough for the compliance or regulatory department to consolidate data at the end of the period. There must be clarity regarding the source of the information, who is responsible for generating it, the validations performed before it is submitted, and how discrepancies are corrected. In other words, the quality of the report depends on the quality of the process that produces it.

This point is particularly important in institutions where regulatory data comes from multiple sources: legacy systems, external vendors, different operational modules, or partially manual processes. In such cases, errors do not always stem from bad faith or a lack of diligence; they often result from a fragmented information architecture. Precisely for this reason, the current debate onregulatory reporting in Mexicois increasingly linked to digital transformation, automation, and data governance.

In practice, the best-prepared institutions will be those that succeed in integrating compliance, technology, and operations under a single control framework. The challenge is no longer simply about reporting. The challenge is to be able to demonstrate that the reported information accurately, verifiably, and timely reflects the institution’s operational reality.

Contemporary financial supervision is shifting toward more data-intensive models, with increasing expectations regarding the accountability of reported information. Against this backdrop, investing in data quality is not merely a decision driven by internal efficiency. It is a strategic decision regarding compliance and reputation.