Financial Institutions Must Refine Data Quality to Navigate Complex Regulations
In today’s highly competitive and heavily regulated banking industry, effective risk management relies on precise, verified, and timely data. However, many institutions are hampered by outdated, inaccurate data that hinders their ability to make informed decisions.
Standardising and Validating Data Becomes More Challenging
The scope of risk management has expanded to cover capital regulations, credit, market, data governance, and technology, making it increasingly difficult to manage and validate data. The diverse information sources, different formats, and growing volume of data require institutions to clean up, verify, and harmonise their data to extract insights in near real-time.
Key Challenges in Data Management
- Diverse information sources
- Different data formats
- Growing volume of data
- Inability to handle preparatory work required for effective risk management
Current Systems and Processes Hinder Data Quality
Veteran systems used by many institutions are unable to handle the preparatory work required for effective risk management. As a result, teams in banks conduct data quality management at the tactical level, cleaning and harmonising data for one purpose before reworking it for another use. This inefficient process increases costs, delays, and injects risk into decision-making.
Consequences of Poor Data Quality
- Increased costs
- Delays
- Injected risk into decision-making
Neglecting Data Quality Jeopardises Compliance and Innovation
The lack of a better approach to data management inhibits agility and innovation in the banking industry. Chief risk officers must guide their organisations along the path to increased profitability while remaining fully compliant with complex financial regulations.
Impact on Innovation and Compliance
- Inhibited agility
- Limited innovation
- Increased risk of non-compliance
Smart Data Fabric Architecture Offers a Solution
The adoption of smart data fabric technology enables financial institutions to provide risk managers with timely and accurate information, achieve compliance, and give the organisation confidence to innovate and excel in all areas. This innovative IT architecture integrates disparate data sources into a unified, dependable stream, accessible in real-time, improving performance and eliminating the need for separate data repositories.
Benefits of Smart Data Fabric
- Timely and accurate information
- Improved compliance
- Increased innovation and profitability
The Era of Open Banking and Proactive Regulation Demands Change
As the era of open banking, open finance, and proactive regulation dawns, financial institutions must rethink how they support their risk management operations. The smart data fabric is the one sure way to access timely and accurate data, achieve compliance, and give the organisation the confidence to innovate and excel in all areas.
Key Takeaways
- Smart data fabric technology offers a solution for improved data quality
- Financial institutions must adapt to new regulations and technologies
- Improved data quality leads to increased innovation and profitability.