Financial institutions should prioritise improving data quality and data governance before investing heavily in additional regulatory technology (RegTech) solutions, according to industry experts.
The recommendation highlights a growing challenge in financial services: advanced compliance technologies can only deliver effective outcomes when supported by accurate, consistent and well-managed data.
Banks and financial institutions have increased investments in RegTech solutions to improve regulatory reporting, compliance monitoring, risk assessment and fraud detection. However, poor data quality can limit the effectiveness of these systems and create additional operational challenges.
Modern regulatory technology relies heavily on structured and reliable data. Inaccurate customer information, inconsistent data definitions, fragmented systems and weak data management practices can affect compliance outcomes and risk reporting.
Data governance has therefore become a critical foundation for effective regulatory technology adoption. Banks need clear ownership of data, standardised processes, quality controls and mechanisms to ensure information accuracy across different business functions.
The issue is particularly important as regulators worldwide demand greater transparency, faster reporting and stronger risk management capabilities from financial institutions.
Artificial intelligence and advanced analytics are also increasing the importance of data quality. AI-based compliance tools require high-quality datasets to identify risks, detect suspicious activities and generate reliable insights.
Investing in technology without addressing underlying data problems can create a false sense of security. Automated systems may process information faster, but incorrect inputs can lead to inaccurate results and ineffective compliance decisions.
For banks, improving data architecture should be considered a strategic priority. Integrated data platforms, effective data governance frameworks and improved system connectivity can help institutions maximise the benefits of RegTech investments.
The growing adoption of RegTech also highlights the need for collaboration between compliance, risk management, technology and business teams. Regulatory technology should not be viewed only as an IT initiative but as part of broader governance and risk management strategies.
Cybersecurity and data privacy are additional considerations as financial institutions manage increasing volumes of sensitive customer and transaction information. Strong controls are essential to protect data integrity and maintain regulatory compliance.
The message from FinRegE reflects a broader lesson for financial institutions: technology can enhance compliance capabilities, but successful digital transformation depends on the quality of the underlying data.
As banks continue adopting automation, artificial intelligence and regulatory solutions, building strong data foundations will be essential for improving compliance efficiency, reducing operational risks and strengthening trust.
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