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The Top Data and Technology Challenges in Financial Services

A Global Survey of 554 Line of Business Leaders

We surveyed 554 financial services business leaders, globally, to understand the biggest technology and data challenges their organizations face, as well as their key data initiatives and priorities for the next 12 months, and their views on collaborating with fintechs.

Highlights from the survey include:

  • 86% of financial services business leaders lack confidence in using their data to drive decision-making
  • Only 5% of data used to make business decisions is less than one hour old
  • The highest technology priority is gaining access to real-time data from across the business for improved decision making
  • 77% of financial services business leaders would consider implementing a data fabric to simplify access to distributed data

Financial services organizations are striving to gain a competitive edge, deliver more value to customers, reduce risk, and respond more quickly to the needs of the business. Gaining a consistent, accurate, real-time view of their data will better enable firms to do all of that, helping to improve everything from understanding market risk, risk reporting and cash flow, to regulatory compliance, and a comprehensive view of customer and institutional client activity.

Muita Resursseja, Joista Saatat Pitää

Mar 03, 2026
White Paper
For banks seeking to modernize their decision-making capabilities, smart data fabrics offer a powerful path forward.
Mar 03, 2026
Solution Summary
A smart data fabric from InterSystems streams high-quality, real-time data into model development, deployment, and performance monitoring— overcoming the limitations of silos for operationalizing AML/KYC, CCAR/ CECL, credit, liquidity, and reporting at scale while maintaining data lineage and governance.
Mar 03, 2026
Solution Summary
A smart data fabric helps banks improve decision quality and business performance by eliminating data duplication, reducing data latency, and unlocking enterprise-wide intelligence.
Feb 27, 2026
Cutter Associates Interview
This video explores how asset management firms can overcome common data and infrastructure challenges that often slow down AI innovation. Kathy McDermott, Managing Director at Cutter Associates, is joined by Irene Galperin, Senior Advisor in Financial Services at InterSystems, to discuss why high-quality, accessible data is foundational for successful AI use cases. Together, they unpack key roadblocks such as data silos, legacy architectures, and data quality issues, then shift to practical solutions—highlighting how a data fabric architecture provides the trusted, unified data foundation that GenAI requires to help firms accelerate AI adoption without a disruptive overhaul of their existing data environment.
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Crisil Coalition Greenwich
The move to T+1 settlement in North America was just the beginning. Now, the industry is buzzing about what it will take to reach true T+0—instantaneous settlement. But how close are firms to making this a reality?
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Financial Services
What’s holding asset management firms back from moving beyond AI and GenAI prototypes and truly scaling AI innovation?
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Market Note
This TabbFORUM report explores how AI is moving from cool novelty to core infrastructure, what’s working in production today, and where the next wave of adoption will determine lasting competitive advantage.
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Celent
Banks are among the most data-intensive institutions—almost everything a bank does is based on digital processing and data analytics, including advanced analytics and models. For banks, their data is the business.
Jul 02, 2025
Celent
A Celent Research Survey of Over 100 Retail Banking Executives in North America and the United Kingdom Decision Intelligence in Banking
Apr 04, 2025
Optimizing Analytics Development in Financial Services
Smarter Processes, Smarter Decisions

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