Skip to content
Search to learn about InterSystems products and solutions, career opportunities, and more.

Smart Data Fabric: The Key to High-Quality Data and Better Decision Intelligence in Banking

Celent

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
RELATED TOPICS

Other Resources You Might Like

Sep 02, 2026
Solution Summary
Reduce Canceled Procedures Due to Inventory Shortages
Sep 01, 2026
Product Data Sheet
InterSystems Supply Chain Orchestrator™ is a data platform that enables supply chain organizations to see, understand, optimize, and act to attain an agile and resilient supply chain model.
Aug 24, 2026
Fundamentals
RAG retrieves knowledge from your documents. MCP gives AI a standardised way to take actions. Learn when to use each, when to use both, and how they work together in production systems.
Aug 21, 2026
Industry Insights
Data Integration Key to Achieving Needed Breakthroughs in Healthcare When peers from other industries ask why data hasn’t driven comparable breakthroughs in healthcare, the answer is usually hiding in plain sight: clinical and administrative data still live in different systems and “speak” different digital languages. Integrating them is a prerequisite for the next wave of progress—better care, better patient experience, and better operational performance at the same time. Fortunately, there are now multiple mandates spurring this integration, from Centers for Medicare & Medicaid Services requiring Fast Healthcare Interoperability Resources APIs, to National Committee for Quality Assurance embracing digital quality measures, to enforcement of prohibitions against information blocking. Health plans and providers, however, must guard against swapping these two longstanding data siloes for several new ones.
Aug 19, 2026
White Paper
A mid-sized independent asset management firm overseeing more than $110 billion in equity and fixed income portfolios implemented InterSystems Data Studio™ to unify disparate data across dozens of data sources and systems such as spreadsheets, external data and service providers, legacy systems, data lakes, data warehouses, and data marts.
Aug 19, 2026
Build, Connect, and Govern AI Agents
InterSystems IRIS AI Hub provides a comprehensive set of capabilities for building, deploying, and governing AI agents and agentic workflows.
Aug 15, 2026
Fundamentals
Conversational AI in healthcare is reducing patient portal overload with urgency tagging, AI-assisted responses, and intelligent message routing. Learn what's deployed and what the evidence shows.
Aug 15, 2026
Fundamentals
APIs are built for developers. MCP is built for AI agents.
Aug 15, 2026
Fundamentals
Overview An eye surgery center was losing patients. Not to competitors, but to no-shows. Eighteen percent of scheduled appointments went unfilled every week. Four full-time staff members spent their days calling roughly 500 patients, trying to confirm appointments. When that didn't work, the clinic overbooked randomly, hoping the math would balance out. Some days every patient showed up, and the waiting room was chaos. Other days slots sat empty.
Aug 12, 2026
NTN Special Report
This special report from National Technology News evaluates the key talking points from the event including everything from data readiness and governance to organisational resistance, sustainability concerns, and the future role of humans in increasingly automated workplaces. AI has moved beyond experimentation and into the mainstream. Across industries, organisations are racing to identify use cases, improve productivity, and demonstrate returns on investment. Yet while enthusiasm remains high, many businesses are discovering that turning AI ambition into measurable operational impact is far more challenging than anticipated.

Take The Next Step

We’d love to talk. Fill in some details and we’ll be in touch.
*Required Fields
Highlighted fields are required
*Required Fields
Highlighted fields are required
** By selecting yes, you give consent to be contacted for news, updates and other marketing purposes related to existing and future InterSystems products and events. In addition, you consent to your business contact information being entered into our CRM solution that is hosted in the United States, but maintained consistent with applicable data protection laws.