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

While excitement over advanced analytics, data science, and artificial intelligence 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 Financial institutions 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 centralized 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? Latest research has found that leading financial organisations are exploring Data Fabric approaches to answer these questions.

This research report aims to review Data Fabric approaches empowering 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.

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