Data Modernization in Banking and Financial Services

Banks and financial services firms have vast amounts of data, but legacy platforms, fragmented architectures, and complex migration requirements can make it hard to put that data to work. Rising SAS licensing costs, aging data warehouses, and siloed reporting slow down decisions and stand in the way of AI. Modernization, from SAS-to-PySpark migration to cloud data platforms, removes those barriers, but only if it’s done quickly, accurately, and without disrupting the business.

See Data Modernization in Action

Hexaware’s Client Impact Series brings together 15 success stories from across banking and financial services in North America, Europe, and Australia. Each one shows how a real organization modernized its data estate through SAS-to-PySpark conversion, data warehouse modernization, cloud data platforms, and automated data migration, and what changed as a result.

Results From Real Engagements

Here’s a sample of what these organizations achieved:

• $3.5M in savings for a leading North American bank that moved its analytical data warehouse to Azure Databricks and converted 250+ SAS reports to PySpark.
• Up to 85% less code-conversion effort with Amaze®, including for one of Australia’s oldest banks.
• 40% more analytics created by business users at a leading Canadian multinational bank, after Hexaware implemented a data mesh architecture with self-service analytics.
• ~40% lower total cost of ownership for a leading Australian consumer lender after an Amaze®-powered move from an on-premises data warehouse to Azure.

Accelerate the Modernization Journey

See how Amaze® for Data and AI, Hexaware’s GenAI-powered platform, supports assessment, migration, and deployment across the modernization journey. It automates code conversion from SAS, Ab Initio, and legacy ETL tools, and builds quality checks into every step, so teams spend less time rewriting code and more time delivering value.

Once the data is in the cloud, data mesh architectures, Azure Databricks banking solutions, and self-service analytics for banks help build a stronger foundation for AI and faster decision-making. Business teams get trusted, governed data they can use on their own, without waiting on IT.

Explore the Client Impact Series

Download the ebook to read all 15 success stories on data modernization in banking and financial services, each with the challenge, the solution, and the measurable results.