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How Streamlined Data Management Can Help Asset Managers Mitigate Risk

Real-time Visibility & Integrated Decision Intelligence

Business colleagues discussing graphs on screen in meeting room

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.

Consider this: A global survey of asset management firms identified that eliminating data errors is a pressing challenge for the majority of respondents, with fragmented systems and reliance on IT bottlenecks slowing progress toward better risk analytics and decision-making.

In this guide:

  • The Traditional Risk Management Dilemma
  • The Unique Risk Management Challenges for Asset Managers
  • A New Approach to Risk Management
  • How Smarter Tools Empower Asset Managers
  • Risk Management as a Strategic Advantage

Další Zdroje, Které By Se Vám Mohly Líbit

bře 03, 2026
White Paper
For banks seeking to modernize their decision-making capabilities, smart data fabrics offer a powerful path forward.
bře 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.
bře 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.
úno 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.
pro 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?
pro 08, 2025
Financial Services
What’s holding asset management firms back from moving beyond AI and GenAI prototypes and truly scaling AI innovation?
říj 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.
čvc 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.
čvc 02, 2025
Celent
A Celent Research Survey of Over 100 Retail Banking Executives in North America and the United Kingdom Decision Intelligence in Banking
dub 04, 2025
Optimizing Analytics Development in Financial Services
Smarter Processes, Smarter Decisions

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