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From Data to Decision

Optimizing Analytics Development in Financial Services

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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.

Další Zdroje, Které By Se Vám Mohly Líbit

dub 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.
říj 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.
říj 23, 2024
Market Note
This report explores how advancements in AI, including large language models and natural language processing, are revolutionizing every aspect of capital markets, from trading strategies to compliance and portfolio management.
říj 22, 2024
Fact Sheet
Unified Data has the Power to Transform
říj 16, 2024
TabbFORUM’s Market Structure Wave
In this edition of TabbFORUM’s Market Structure Wave video series, InterSystems Irene Galperin, Senior Advisor, Financial Services, discusses how firms in the capital markets have been investing and experimenting with AI, particularly most recently with the advent of ChatGPT. In this interview, conducted by TABB Group CEO Bruce Morris, Irene offers several use cases and explains that data is at the core of implementing AI, as data needs to be "high quality and consistent," essentially "AI-ready."
říj 04, 2024
Product Fact Sheet
InterSystems Data Fabric Studio is an essential element of a modern data strategy required to enable growth, optimize business reporting, reduce risk, and support compliance for any firm in the financial services industry.
dub 30, 2024
A Semantic Layer Summit Lightning Talk
Harris Associates leverages a smart data fabric architecture enriched with a semantic layer.
říj 30, 2023
A Global Survey of 375 Asset Management Firms' Top Data Challenges and Initiatives
How Asset Management Organizations Are Investing in Data Management Download the eBook
říj 12, 2023
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.
říj 05, 2023
Analytics
InterSystems proven technology is used today to replicate data from an operational production system to a “reporting node,” where it can be queried and analyzed without impacting the operational system.

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