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Case Study: Citizens Bank saves $1.2M annually and cuts IT costs 30% with Confluent

Citizens Bank Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Citizens Bank
Industry
Financial Services
Challenge
Modernize legacy banking systems for real-time, digital-first customers.
Headline result
Real-time data streaming across fraud detection, customer engagement, and lending

Key results

$1.2M
Saved annually from fewer fraud false positives
15% reduction in false positives
30%
Reduction in IT costs
from Confluent Cloud adoption
50%
Improvement in data processing speeds
40%
Faster loan processing times

The challenge

Citizens Bank, a financial services company with over $215 billion in assets, needed to transform its legacy systems to meet the demands of digital-first customers. It required an enterprise-grade streaming data platform to support real-time data across financial transactions, customer interactions, and fraud detection.

The solution

The bank adopted Confluent's data streaming platform, moving to Confluent Cloud to enable real-time data insights across transactions, customer engagement, and business intelligence. Confluent's integration of AI and machine learning supported the bank's broader digital transformation.

When we came to the point where we had to stand up an enterprise-grade streaming data platform, we looked at multiple options and Confluent was a clear winner here.

SG
Sudhakar Gopal
Executive VP & Head of Engineering, Citizens Bank

The results, in context

Citizens Bank reported a 15% reduction in false positives for fraud detection, saving approximately $1.2 million annually, alongside a 30% reduction in IT costs and a 50% improvement in data processing speeds. The bank also cited a 20% increase in customer engagement and 40% faster loan processing times.

Products used

Confluent Confluent CloudConfluent Confluent data streaming platform