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Big Data & Analytics Platform Implementation for Enhanced Business Performance in Banking

Case study

Big Data & Analytics Platform Implementation for Enhanced Business Performance in Banking

To build a scalable, secure, and analytics-ready Big Data platform to support advanced business intelligence, customer analytics, AML, segmentation, and other use cases—while optimizing existing infrastructure and unlocking the full value of enterprise data.

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Industry

Banking

Capability

Data Foundation & Value Management

Technology

Vertica

Big Data & Analytics Platform Implementation for Enhanced Business Performance in Banking
100% to 300%
Improvement in Query Performance
700+ TB
Migration of 700+ TB Across 12,000+ Tables
USD 15+ Million
ROI from Phase 1 Implementation
99.6%
SLA Achieved with 24x7 Platform Support

Table of contents

Business objectiveSolutions & implementationTechnologies usedBusiness outcomes
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Business objective

To build a scalable, secure, and analytics-ready Big Data platform to support advanced business intelligence, customer analytics, AML, segmentation, and other use cases—while optimizing existing infrastructure and unlocking the full value of enterprise data.

Solutions & implementation

Designed and deployed a scalable Vertica and MapR Hadoop architecture for structured and unstructured data analysis.

Migrated 12,000+ tables, 1,000+ stored procedures, and ~700 TB of data from legacy platforms.

Built end-to-end analytics for use cases such as pre-approved loans, financial health scoring, customer segmentation, and conversion tracking.

Implemented advanced capabilities including chatbots, text mining, AML detection, remittance anomaly tracking, and early-warning systems.

Developed and maintained a flexible, customizable data science environment with 24x7 infrastructure support.

Major technologies used

Vertica, MapR Hadoop, Sybase IQ, Oracle

Core databases and storage

Spark, Kafka, Informatica, SAS

Data processing and ingestion

Python, R, Java, SQL, Linux

Language stack for modeling and automation

RapidMiner

For business-facing analytics workflows

Text Mining/NLP, Social Intelligence tools

For document mining and behavior analysis

Business outcomes

100% to 300% Improvement in Query Performance

Achieved significant speedup in data processing and analytics execution.

Migration of 700+ TB Across 12,000+ Tables

Seamlessly migrated large-scale data infrastructure including workflows and procedures.

USD 15+ Million ROI from Phase 1 Implementation

Demonstrated measurable business value through scalable data science delivery.

99.6% SLA Achieved with 24x7 Platform Support

Enabled high availability and operational reliability for business-critical analytics.

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