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Smart Data Fabrics

Accelerating Enterprise Data Fabric Initiatives

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Unlocking the True Potential of Data with Smart Data Fabrics

Today, businesses are demanding more from the growing volume and complexity of data they have available – to gain increased efficiency, manage risk, and deliver new high value services to their customers.

But for many organisations, the prevalence of data and application silos makes it difficult to gain full value from the data assets that are locked away in the organisation.

All these organisations are striving to provide a consistent, accurate, real-time view of their enterprise data assets to make better decisions. To improve their customers’ experiences. To move their businesses forward.

This is where smart data fabrics can help.

What Are Smart Data Fabrics?

An enterprise data fabric is a new architectural approach that speeds and simplifies access to data assets across the entire business. It accesses, transforms, and harmonises data from multiple sources, on demand, to make it usable and actionable for a wide variety of business applications.

In fact, in a recent analyst report, Gartner1 states that the enterprise data fabric “is the future of data management.”

Smart data fabrics take this approach one step further by embedding a wide range of analytics capabilities, including Generative AI, data exploration, business intelligence, natural language processing, and machine learning directly within the fabric.

This makes it faster and easier for organisations to gain new insights and to power intelligent, predictive and prescriptive services and applications.

By allowing existing legacy applications and data to remain in place, smart data fabrics enable organisations to maximise the value from their previous technology investments, including existing data lakes and data warehouses, without having to “rip-and-replace” any of their existing technology.

Putting Smart Data Fabrics To Use

Smart data fabrics are being used in production today across many industries to power a wide variety of enterprise-level, mission-critical initiatives, including:

  • Generative AI-enabled advisors and co-pilots
  • Scenario planning and decision support
  • Enterprise risk and liquidity management
  • Regulatory compliance
  • Business management reporting
  • Wealth management
  • Real-time visibility and alerting

[1] Gartner, Emerging Technologies: Data Fabric Is the Future of Data Management. 4 December 2020 – ID G00733652

 

 

Smart Data Fabrics in Financial Services

Financial Institutions use smart data fabrics to better leverage enterprise-wide data for advanced insight.
Mar 28, 2022
Broadridge Financial Solutions
The Challenge Broadridge Financial Solutions, a $5-billion global fintech leader handling $7TN of fixed income and equities securities trades per day, needed a better way to manage and distribute growing volumes of data.
Apr 18, 2022
Celent
Financial Institutions embrace Smart Data Fabric approaches to better leverage enterprise-wide data for advanced insight capabilities
May 17, 2021
American Banker Fireside Chat
Advanced analytics and AI depend on access to data. Unfortunately, that “access” is precisely the problem at many financial institutions. Years of mergers and business expansion have siloed data across platforms that don’t connect. Celent, the research division of Oliver Wyman, recently engaged with leading financial institutions to better understand the need for on-demand data access and the initiatives underway to address these priorities.
Sep 17, 2020
Firebrand Research
Financial institutions are facing challenges in an environment in which the meaning of business as usual has fundamentally changed.
Feb 26, 2021
FIMA & WBR Insights
The 2021 Chief Data Officer (CDO) Study

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