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From Data to Decision

Optimizing Analytics Development in Financial Services

business meeting presentation
 

Smarter Processes, Smarter Decisions

In financial services, analytics are the engine powering business management and decision-making. Whether assessing credit risk, optimizing portfolios, or ensuring compliance, analytics transform data into actionable insights that drive business forward. But getting from concept to execution is rarely simple. Teams face constant hurdles, including fragmented data, resource bottlenecks, and compliance requirements.

This guide zeroes in on the heart of the issue: the need for AI-powered analytic capabilities versus the ease of accessing, unifying, and using enterprise data.

Discover how better data can help you accelerate workflows, unlock efficiencies, increase revenue, and stay ahead in an increasingly competitive landscape.

In this guide:

  • The Pain Points: What’s Slowing You Down
  • Accelerating Time to Insight
  • Addressing the Challenges
  • Making Analytics Future-Ready
  • Transforming Analytics Development Into a Strategic Advantage

In financial services, analytics are more than tools—they’re the foundation of smart, timely decisions. Now is the time to refine your approach, embrace scalable solutions, and let your process drive growth. By staying ahead of the curve, you’re managing change and shaping the future.

Egyéb Források, Amelyek Tetszhetnek

márc. 03, 2026
White Paper
For banks seeking to modernize their decision-making capabilities, smart data fabrics offer a powerful path forward.
márc. 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.
márc. 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.
febr. 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.
dec. 29, 2025
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?
dec. 08, 2025
Financial Services
What’s holding asset management firms back from moving beyond AI and GenAI prototypes and truly scaling AI innovation?
okt. 08, 2025
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.
júl. 29, 2025
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.
júl. 02, 2025
Celent
A Celent Research Survey of Over 100 Retail Banking Executives in North America and the United Kingdom Decision Intelligence in Banking
ápr. 04, 2025
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.

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