Improving Decision Intelligence in Banking Starts with Data

Fragmented data and siloed systems continue to hinder banks’ ability to improve decision intelligence. According to recent research by Celent*, data management is among the top investment priorities for banks seeking to modernize their decision-making capabilities. Difficulty with integrating new data sources, poor data quality, and data latency degrade the performance of AI and analytics models. These challenges are especially pronounced in institutions still reliant on complex data architectures, which struggle to deliver the real-time, high-quality data needed for accurate and timely decision-making.

Effective data management also helps banks manage fraud risk by enabling them to identify suspicious activities quickly and implement strategies to prevent fraud, protecting their valuable assets and ensuring operational integrity.

InterSystems enables banks to improve decision intelligence models faster by enabling banks to easily integrate new data sources and connect to data at the source and in real time—without duplication or manual wrangling. Our solutions automate data integration, enforce governance, and ensure data quality, supporting scalable and compliant decision intelligence.

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* Celent “Celent Decision Intelligence and Data Survey 2025”