A Celent Research Survey of Over 100 Retail Banking Executives in North America and the United Kingdom
Decision Intelligence in Banking
High-quality data plays a critical role in the AI-driven decision intelligence tools that enhance fraud detection, support payments intelligence, improve customer experiences, and minimize credit risk.
Despite significant investments in modernizing data architecture over the past decade, such as migrating to cloudbased data warehouses, data lakes, and lakehouses, banks still face pervasive data issues. In fact, 60% of Tier 1 banks cite existing architectures as barriers to improving decision intelligence. These issues include integrating new data sources, improving data quality, and reducing data latency.
A New Approach to Data Management
A data fabric architecture can help banks address the root cause of these persistent data challenges. This new data management approach facilitates data integration, transformation, and access across all data silos in a non-disruptive way. By connecting to data at the source, a data fabric delivers integrated real-time data to various processes and models, regardless of the data’s original format or location.
InterSystems takes this approach further by embedding a wide range of machine learning and AI-enabled capabilities that make it faster and easier for banks to gain new insights and enhance decision intelligence—a smart data fabric.
Our solutions enable dynamic connections to any applications and data silos, both internal and external, and support the orchestration of services, application of AI and analytics, and delivery of consistent real-time data to every consumer.
InterSystems solutions can run decision intelligence models directly on the smart data fabric, helping banks overcome the limitations of data warehouses, data lakes, and lakehouses without replacing them.
For banks aiming to thrive in the digital age, investing in decision intelligence and leveraging a smart data fabric is not just a strategic move—it’s a necessity.
In this research report:
- The Speed of Business Is Accelerating. Can Banks Keep Up?
- The Importance of Decision Intelligence
- Decision Intelligence Solutions and Models Are Essential
- Celent Decision Intelligence and Data Fabric Survey
- Data Challenges Persist with Decision Intelligence Capabilities
- Data Challenges Are Pervasive Barriers to Improving Decision Intelligence and Model Performance
- Ongoing Investment Is Needed to Maintain Performance
- Can a Data Fabric Help Solve Root Cause Data Issues?
- Cloud Developments
- Data Architectures
- The Role of Data Fabric in Decision Intelligence
- Data Fabric Architecture