Data quality and governance enable a financial services firm to meet regulatory reporting
A financial services organization faced mounting regulatory reporting requirements and audit findings related to data quality and lineage. Vimix assessed their current state, designed a data quality strategy and roadmap, and helped implement governance processes and quality rules so that critical data was fit for purpose and traceable from source to report.
Project Overview
The Challenge
Regulators and internal audit demanded evidence of data quality, lineage, and controls. The firm had no single view of data quality metrics, inconsistent definitions across divisions, and manual reconciliation efforts that delayed reporting and increased risk. They needed a structured approach to data quality and governance that would satisfy compliance while supporting business use of data.
Our Solution
Vimix's data quality and governance engagement helped the financial services firm meet regulatory and audit expectations while building a sustainable foundation for data-driven decision-making.
Project Details
Quick Actions
Our Approach
Data Quality Assessment and Baseline
We assessed the current state of data quality for key regulatory and reporting datasets—completeness, accuracy, consistency, timeliness—and established a baseline with clear metrics and ownership. Gaps and root causes were documented to prioritize remediation.
Data Quality Strategy and Roadmap
We designed a data quality strategy and implementation roadmap: quality rules, monitoring, remediation workflows, and continuous improvement. The roadmap aligned with the client's governance framework and ensured data was fit for business and regulatory purpose over the long term.
Governance and Lineage for Compliance
We implemented governance processes and data lineage for critical reporting flows so that the firm could demonstrate to regulators and auditors how data moved from source systems to reports, and who was accountable for quality at each stage.
Impact & Results
Regulatory and Audit Readiness
The firm could demonstrate data quality metrics, lineage, and controls, reducing audit findings and strengthening regulatory dialogue.
Faster and More Accurate Reporting
With consistent quality rules and remediation in place, reporting cycles shortened and accuracy improved, reducing rework and late submissions.
Sustainable Data Quality
Ongoing monitoring and stewardship ensured that data quality remained high as new sources and requirements were added.
Technology Stack
Data Quality
Governance
Related Services & Industries
Services Used
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Data Management
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Cyber Risk & Compliance Advisory
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Project Conclusion
Vimix's data quality and governance engagement helped the financial services firm meet regulatory and audit expectations while building a sustainable foundation for data-driven decision-making. By combining assessment, strategy, and implementation with clear ownership, the client achieved fit-for-purpose data and traceable lineage.
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