Skip to content
Search to learn about InterSystems products and solutions, career opportunities, and more.

Financial Institutions Get Smart About Data (Fabric)

Celent

colorful points of light representing smart data fabric

Financial Institutions embrace Smart Data Fabric approaches to better leverage enterprise-wide data for advanced insight capabilities

Executive Summary

Line of business (LOB) and technology heads at wholesales financial institutions (FIs) come from different angles in wanting to realise business outcomes and gain competitive advantage, but data is a unifying thread. As FIs move from process- to platform-driven organisations, the business focus has shifted to customer experience. This shift requires mastering and leveraging data for insight at an enterprise level. Leading FIs are turning to Enterprise Data Fabrics, the latest evolution of data management approaches, for help.

While excitement over advanced analytics, data science, and artificial intelligence (AI) is palpable, easy access to data—where, when, and by whom it is needed—is a work in progress. A wide mix of data types and systems and a history of disjointed business expansion common to FIs means data remains siloed across numerous platforms, tuned for very different use cases.

Within capital markets and across banking for example, trends such as the move to cross-asset trading at both asset managers (buy side) and banks/brokers (sell side), requirements for 360-degree customer views, the continual regulatory onslaught, and a desire to simplify architecture mean it is time for a rethink in the approach to data management and analytics. A key question for today’s FI is whether a trade-off in cost versus performance when architecting data infrastructures—which dictates different solutions by use case—still holds true.

In other words, is having different data management platforms or centralised data stores by use case cause still required? What if one data management platform could service enterprise data management and analytics needs, regardless of the end user? What innovation could be unleashed with freer access by business users to data and data tools? Celent research has found that leading capital markets’ FIs are exploring Data Fabric approaches to answer these questions.

This research report aims to review Data Fabric approaches empowering FIs to achieve smarter data enablement, “information fluidity,” and a simplified data architecture. This paper also discusses how leading Financial Institutions are positioning their business for success in utilising high fidelity data and coherent collaboration across the enterprise by embracing “Smart” Data Fabric approaches.

関連するトピックス

Other Resources You Might Like

Oct 21, 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."
Oct 09, 2024
Product Fact Sheet
InterSystems Data Fabric Studio is an essential element of a modern data strategy required to enable growth, optimise business reporting, reduce risk, and support compliance for any firm in the financial services industry.
Aug 06, 2024
Eleven common questions and answers
Today more than ever before, organisations are striving to gain a competitive edge, deliver more value to customers, reduce risk, and respond more quickly to the needs of the business. To achieve these goals, organisations need easy access to a single view of accurate, consistent, and trusted data – and all in real time. However, growing volumes and complexities of data make this difficult to achieve in practice. As data grows, so does the prevalence of data silos, making integrating and leveraging data from internal and external data sources a challenge.
Jul 26, 2024
Harris Associates
By implementing InterSystems Smart Data Fabric, Harris Associates breaks down data silos reducing the time it takes to make informed business decisions.
Jun 28, 2024
Product Fact Sheet
Learn about our self-service solution that streamlines access to data across the enterprise, delivering a single source of trusted data to all consumers
May 02, 2024
A Semantic Layer Summit Lightning Talk
Harris Associates leverages a smart data fabric architecture enriched with a semantic layer.
Apr 05, 2024
Financial Services
Power Your Decisions with Unified, Trusted Data
Nov 01, 2023
A Global Survey of 375 Asset Management Firms' Top Data Challenges and Initiatives
How Asset Management Organisations Are Investing in Data Management Download the eBook
Jun 21, 2023
Forrester Research
InterSystems Positioned as a Strong Performer in The Forrester Wave™: Data Management for Analytics , Q1 2023
Feb 28, 2022
Today more than ever before, organisations are striving to gain a competitive edge, deliver more value to customers, reduce risk, and respond more quickly to the needs of the business. To achieve these goals, organisations need easy access to a single view of accurate, consistent, and trusted data – and all in real time. However, growing volumes and complexities of data make this difficult to achieve in practice. As data grows, so does the prevalence of data silos, making integrating and leveraging data from internal and external data sources a challenge.

Take The Next Step

We’d love to talk. Fill in some details and we’ll be in touch.
*Required Fields
Highlighted fields are required
*Required Fields
Highlighted fields are required
** By selecting yes, you give consent to be contacted for news, updates and other marketing purposes related to existing and future InterSystems products and events. In addition, you consent to your business contact information being entered into our CRM solution that is hosted in the United States, but maintained consistent with applicable data protection laws.