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Empowering Line of Business Users Through Data Democratization

A survey of 250 financial leaders

How financial firms can use enterprise data to drive actionable insights across their business teams.

Executive Summary

Empowering Line of Business Users Through Data Democratization

Modern data management technology enables organizations to aggregate data from multiple, siloed sources into a consistent structure and context. This has led to numerous innovations in various industries. In the finance industry, data management executives have used the technology to break down silos, improve data quality, and deliver more meaningful insights to the organization.

To further optimize enterprise knowledge, finance organizations must be able to easily share, interpret, and capitalize on enterprise data, regardless of the user’s level of technical skill. The latest advances in technology make enterprise data available to many types of roles in the organization—whether they are technical or non-technical users—allowing for more insights, more trust, and better decisions.

Based on the results of a survey of 250 financial leaders, this report explores how finance organizations are leveraging modern data management technologies to provide their teams with broader, easier data access. Here, readers will learn what challenges and solutions exist on the path to data democratization in the finance industry.

Další Zdroje, Které By Se Vám Mohly Líbit

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.
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?
Oct 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.
Jul 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.
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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