Maximizing Compliance, Minimizing Burden: Big Data Strategies for Efficient Regulatory Reporting in Small and Mid-Size Banks

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Maximizing Compliance, Minimizing Burden: Big Data Strategies for Efficient Regulatory Reporting in Small and Mid-Size Banks

The regulatory landscape for small and mid-sized banks (SMBs) is constantly evolving, with new requirements and increased scrutiny placing a significant burden on compliance teams. Traditional reporting methods, often manual and siloed, struggle to keep pace with this growing complexity, leading to errors, inefficiencies, and potential penalties. Big data offers a powerful solution to these challenges. By harnessing its ability to capture, store, and analyze vast amounts of data, SMBs can streamline regulatory reporting, improve accuracy, and gain valuable insights.

This white paper explores the practical application of Big Data for regulatory reporting in the context of the specific needs and challenges faced by SMBs.

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Maximizing Compliance Minimizing Burden Big Data Strategies for Efficient Regulatory Reporting in Small and Mid-Size Banks

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Author Details

Abhinav Jain

Abhinav has over two decades of experience in the financial services industry, with a focus on Risk and Compliance. He has led the modernization engagements of many large global banks in their financial risk initiatives and helped them in multiple areas of regulatory compliance (ranging from setting up data warehouses, regulatory reporting to responding to MRAs).

Gaurav Mundra

Gaurav is passionate about risk and regulatory reporting. He has successfully led programs for marquee financial services clients across regulatory change management, capital risk calculations, balance sheet modeling and taxonomy implementation. He also has a keen interest in emerging technological trends.

Bharat Bhushan

Bharat is an experienced professional and has worked with international clients across multiple industries. Passionate about harnessing emerging technologies' potential in regulatory landscapes, he specializes in optimizing business processes and crafting targeted operating models for efficient Regulatory Change Management and Reporting.

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