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Overcoming Data Challenges for Innovation in Financial Services

A Bloor InContext Report

Innovation starts with an idea and a vision. It takes root through people accepting the need for change, but it relies on the availability of good quality, accessible, and timely data to deliver both the insights that identify opportunities for innovation and the evidence that innovation is producing the desired improvements.

analyzing the financial report business

Traditional financial services firms have often faced challenges when looking to innovate as legacy IT systems have been a barrier to their transformation. However, the growth of fintechs, empowered by the cloud and digital native technologies, and the encroachment into provision of financial services by major technology companies like Amazon, Google and Apple have challenged traditional banks and insurance companies to become more agile and customer focused.

We think this analyst report will be of interest and relevance to senior business leaders, CIOs and CDOs (Chief Data Officers) in both traditional financial services organisations and newer fintechs who are looking to understand how to overcome the challenges of providing timely, relevant, and high-quality data to drive innovation. In it Bloor looks at the importance of data in helping traditional financial services companies to innovate and keep pace with changes in their industry. The report considers the challenges and barriers preventing senior business leaders from using their data to greatest effect.

Download the Report

Další Zdroje, Které By Se Vám Mohly Líbit

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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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
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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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Real-time Visibility & Integrated Decision Intelligence
Risk management has evolved beyond just mitigating threats—strong risk management practices can be a competitive advantage. In today’s volatile markets, asset managers are tasked with navigating unprecedented complexity, adapting to tighter regulations, and leveraging data to build resilience and drive growth. Yet, traditional methods fall short, leaving many struggling with disjointed systems, siloed data, and delayed insights.
Oct 31, 2024
BLOOR Research Opinion Article
This article from UK Analyst Bloor Research recognises the capabilities and advantages of InterSystems IRIS data platform as an "innovative and powerful data management platform" and it’s Smart Data Fabric capabilities offering a market differentiator.
Oct 22, 2024
Fact Sheet
Unified Data has the Power to Transform

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