Cloudera accelerates data acquisition by 3x for banking services

Challenge: Fragmented and siloed data bogs down development

A leading Asian bank traditionally managed data through short-term, localized IT projects. This fragmented approach created data silos across its regional entities and subsidiaries, bogged down delivery speeds, and resulted in a mess of overlapping analytics tools with inconsistent data definitions. 

To scale modern AI and intelligent banking, the bank needed a unified, enterprise-wide technology foundation that could handle massive data volumes while meeting strict regulatory compliance.

Solution: A unified platform powered by Cloudera

The bank pivoted to a centralized "Product and Platform" operating model, anchoring its entire enterprise data lake on Cloudera. As the core technology foundation, Cloudera enabled the financial institution to establish a unified data sourcing framework that treats data as a reusable, bank-wide asset.

• Unified Multi-Modal Ingestion: Cloudera provides the foundational infrastructure to collapse disparate data pipelines into a single framework. It seamlessly processes traditional batch data, real-time APIs, and high-frequency event streams (such as real-time customer and employee interactions) under a single umbrella.

• Enabled Persona-Driven Data Tiering: Using Cloudera's architecture, the bank organizes data into structured tiers based on user competency. Expert data scientists can access raw data, while business analysts tap into pre-refined, harmonized data. This ensures everyone operates on a single version of the truth with identical definitions for complex financial metrics.

• Automated Human-Free Data Governance: To satisfy rigid banking regulations, Cloudera supports trusted, automated data pipelines that block human intervention. Every trace of data ingested, shifted, or adjusted is automatically audited and locked, guaranteeing absolute data integrity and trust.

• Consolidated Technical Debt & Tool Proliferation: Cloudera served as the centralized "single house" to streamline the data landscape. This allowed the bank to curb vendor sprawl, standardizing data management and cataloging rules across the entire bank.

Results: More agile delivery and readiness

By standardizing its data ecosystem on Cloudera, the bank achieved massive results to scale:

• Faster delivery and lower costs: The financial institution accelerated its enterprise data acquisition speeds by 2x to 3x, while slashing engineering delivery costs down to one-third of what it was prior to Cloudera.

• Project concurrency: The stability of the platform allows the bank to run over 30 large-scale, cross-departmental data projects simultaneously without code merges ever interfering with one another.

• AI-centric readiness: With a clean, highly trackable data lineage established through Cloudera, the bank is now fully positioned to deploy autonomous AI agents and intelligent document automation safely and sustainably.