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  • Data Products in Banking: Accelerating Modernization and Competitive Advantage

Power digital transformation in BFS with modular, trusted, and AI-ready data products

The shift toward real-time, personalized services and AI-driven insights is redefining the financial services landscape. Yet, many banks still rely on fragmented data systems and legacy architectures that slow innovation. This whitepaper explores the rising role of data products in banking as a scalable, reusable foundation for modernizing data infrastructure.

It makes the case for treating data as a product, not a byproduct, and outlines how this model fuels digital transformation in BFS. From enabling unified customer views to accelerating onboarding and ensuring regulatory readiness, data products unlock speed, trust, and long-term value.

What you’ll learn

 
Why traditional data

Why traditional data

Why traditional data approaches limit agility in banking

How data products

How data products

How data products in banking improve reusability, governance, and time-to-insight

A real-world example

A real-world example

A real-world example of Customer 360 driving outcomes at a Tier-1 bank

Practical adoption strategies

Practical adoption strategies

Practical adoption strategies to drive digital transformation in BFS

How cloud and Gen AI accelerate

How cloud and Gen AI accelerate

How cloud and Gen AI accelerate the design and delivery of data products

Modernize your data landscape
Discover how data products serve as the building blocks for innovation, compliance, and customer-centricity in financial services.

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