Archana Pattabhi, a globally recognized data strategist, is revolutionizing the way financial institutions harness data to drive innovation and security. Her groundbreaking work has set new benchmarks for the banking industry, earning her accolades as a thought leader in data strategy and risk management.
In 2020, while most banking executives adhered to traditional development methods, Archana envisioned a transformative approach to data utilization. At a leading financial institution, she recognized that clients need insights from data at their fingertips to understand customer behavior and assess Risk Appetite. Traditional methods of developing and delivering a report as per business requirements will meet only a percentile of what your data has to offer. The system she delivered will enable the clients to query the data they need anytime and draw insights for proactive risk assessment.
Automated systems could identify financial risks faster and more accurately than manual processes. Her vision materialized when she built a system that transformed how banks detect risks, establishing new benchmarks for the entire banking industry. Today, she leads a team making banking more secure for millions of customers worldwide. Her expertise is further bolstered by her doctorate from Azteca University and advanced coursework in Artificial Intelligence and Machine Learning at MIT, where she focused on leveraging innovation and cutting-edge technologies to drive business growth.
Harnessing Data as a Business Asset
The previous approach to banking oversight resembled searching for a needle in a haystack. Bank staff manually reviewed thousands of documents and digital files, often requiring months to identify issues. Archana Pattabhi’s self-service analytics automates this process. The system allows users to query the data with various combinations and analyze the patterns of customer behavior, whether it’s to do with missed or defaulted payments or simply analyzing where, when, and how they are spending. This analysis allows us to offer customers financially better-suited products and understand risk better.
This solution is integrated with Natural Language Generation, which interprets customer spending patterns and banking regulations and identifies violations, functioning essentially as a tireless digital monitor.
The system dramatically improved the speed of providing information to clients and enabled productivity across various cross-functional teams. Previously, serious issues might remain undiscovered for up to two years during audit cycles. Now, Archana Pattabhi’s system identifies potential problems before they escalate into significant concerns. This rapid detection saves banks money while enhancing customer protection.
Archana established robust data governance practices, ensuring information is correctly cataloged, tagged with appropriate metadata, and supported by clear reference terminology across the organization. She understood that…
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