Improving Decision Intelligence in Banking Starts with Data
Improve decision intelligence outcomes by connecting your analytics and AI models to a unified data management environment.
Decision Intelligence in Banking
To reduce risk, enhance customer experience, and drive innovation, banks must ensure that every decision—whether strategic, operational, or customer-facing—is informed by accurate, timely, and contextual data.
InterSystems connects your decision intelligence ecosystem to a single, high-quality data source at every stage of the process. Our solutions unify data from multiple systems, including internal and external sources such as banking applications, data warehouses, CRM systems, transaction platforms, and third-party sources/services. By integrating data from multiple systems, banks can boost performance in their operations—enabling real-time analytics and AI models to deliver actionable insights at the point of need. Improved data availability ensures banks can make data-driven decisions and extract valuable insights in real time.
When decision-making is powered by a unified data layer, banks can increase agility, reduce costs, and unlock new growth opportunities.
Download the Use Case
InterSystems connects your decision intelligence ecosystem to a single, high-quality data source at every stage of the process. Our solutions unify data from multiple systems, including internal and external sources such as banking applications, data warehouses, CRM systems, transaction platforms, and third-party sources/services. By integrating data from multiple systems, banks can boost performance in their operations—enabling real-time analytics and AI models to deliver actionable insights at the point of need. Improved data availability ensures banks can make data-driven decisions and extract valuable insights in real time.
When decision-making is powered by a unified data layer, banks can increase agility, reduce costs, and unlock new growth opportunities.
To reduce risk, enhance customer experience, and drive innovation, banks must ensure that every decision—whether strategic, operational, or customer-facing—is informed by accurate, timely, and contextual data.
InterSystems connects your decision intelligence ecosystem to a single, high-quality data source at every stage of the process. Our solutions unify data from multiple systems, including internal and external sources such as banking applications, data warehouses, CRM systems, transaction platforms, and third-party sources/services. By integrating data from multiple systems, banks can boost performance in their operations—enabling real-time analytics and AI models to deliver actionable insights at the point of need. Improved data availability ensures banks can make data-driven decisions and extract valuable insights in real time.
When decision-making is powered by a unified data layer, banks can increase agility, reduce costs, and unlock new growth opportunities.
Download the Use Case
InterSystems connects your decision intelligence ecosystem to a single, high-quality data source at every stage of the process. Our solutions unify data from multiple systems, including internal and external sources such as banking applications, data warehouses, CRM systems, transaction platforms, and third-party sources/services. By integrating data from multiple systems, banks can boost performance in their operations—enabling real-time analytics and AI models to deliver actionable insights at the point of need. Improved data availability ensures banks can make data-driven decisions and extract valuable insights in real time.
When decision-making is powered by a unified data layer, banks can increase agility, reduce costs, and unlock new growth opportunities.
Ultimate Control Tower
It's All About the Data! Improving Decision Intelligence Models in Banking
60% of Tier 1 banks cite existing data architectures as barriers to improving decision intelligence—impacting areas like payments intelligence, fraud detection/prevention, and credit risk.
Read insights from 100+ retail banking leaders in North America and the UK in Celent’s latest research, revealing how banks are prioritizing model and data management across their business units.
Download the eBook
Read insights from 100+ retail banking leaders in North America and the UK in Celent’s latest research, revealing how banks are prioritizing model and data management across their business units.
Download the eBook
Powering Real-Time Decision Intelligence in Banking
Decision intelligence is a key area of investment for banks but integrating data, analytics, and AI to support real-time, decision-making across critical revenue-generating and risk functions is complex. Traditional data architectures often fall short—introducing latency, fragmentation, and quality issues that hinder model performance and operational agility.
To address these challenges, banks need easy-to-use tools that simplify data integration and improve data quality, enabling teams to leverage advanced analytics and AI more effectively.
By adopting smart data fabric architectures, banks can unify data across silos, reduce latency, and improve data quality—empowering decision intelligence systems to operate at the speed and precision today’s market demands. Artificial intelligence and automation can be leveraged to automate decisions, enabling banks to make faster and more accurate choices in their operations.
To address these challenges, banks need easy-to-use tools that simplify data integration and improve data quality, enabling teams to leverage advanced analytics and AI more effectively.
By adopting smart data fabric architectures, banks can unify data across silos, reduce latency, and improve data quality—empowering decision intelligence systems to operate at the speed and precision today’s market demands. Artificial intelligence and automation can be leveraged to automate decisions, enabling banks to make faster and more accurate choices in their operations.
Fraud Risk
Banks are investing in new models to improve fraud risk management, but these models are only as good as the data that powers them.
Payments Intelligence
Enhancements to existing models are a top priority for banks—something traditional data architectures often struggle to support.
Credit Risk
Credit risk is a top area of investment for banks, yet many lack access to the high-quality, real-time data required for modern lending products.
Credit Card and Lending Operations
New data acquisition and integration is crucial for this data-intensive process, that requires fast, accurate decisions to approve applications, assess risk, and detect fraud.
Customer Intelligence and Segmentation
Customer intelligence relies on robust data integration to gain a deeper understanding of customer behavior, enabling banks to deliver personalized experiences more effectively.
Data Management for Decision Intelligence
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.
* Celent “Celent Decision Intelligence and Data Survey 2025”
Key Benefits of Decision Intelligence
Explore real-world examples of decision intelligence benefits in banking
to see these advantages in action.
to see these advantages in action.
Accelerate Decision-Making
Deliver real-time insights at the point of decision, reducing latency and improving responsiveness.
Enhance Accuracy
and Trust
and Trust
Ensure decisions are based on consistent, high-quality data with built-in governance and compliance.
Boost Efficiency and Innovation
Automate data workflows and empower teams to focus on high-value decision-making and innovation.
The InterSystems Difference
Minimize Data Duplication
Integrate and orchestrate data and services from the source, inside and outside of the organization, on-premises or in the cloud, and without making additional copies of data.
Universal Translator
All users, applications and systems can access the same version of data presented according to needs and access privileges.
Real-Time and High Capacity
Ideal for high-performance, real-time analytical use cases with the capacity to deliver 9X performance using only 30% of infrastructure.
Unified Platform
Integrate data into any system or environment from any source and access, query, and analyze the data using any language.
Non-Disruptive
Connect and access information from new and legacy systems and applications with a non-disruptive orchestration layer.
Fast Time to Value
Easy-to-use solutions enable you to launch your first project within 3 months of implementation.
Ultimate Control Tower
InterSystems: Connect Everything. Solve Anything.
InterSystems is a global leader in data management and analytics, with 47 years of proven success and customers across the financial services industry, including banks, asset managers, insurance companies, fintechs, and data providers.
We offer a comprehensive suite of cloud-first solutions that empower organizations to build and deploy high-performance, real-time intelligent applications. Our innovative technologies enable seamless integration, orchestration, and AI-driven insights across data and application silos, helping businesses unlock the full potential of their data to solve any business challenge.
We offer a comprehensive suite of cloud-first solutions that empower organizations to build and deploy high-performance, real-time intelligent applications. Our innovative technologies enable seamless integration, orchestration, and AI-driven insights across data and application silos, helping businesses unlock the full potential of their data to solve any business challenge.
Supporting Innovation in
Financial Services for Decades
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