How CBA Obtained 90% of Its Customer and Transaction Information


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Core Modernization of Commonwealth Bank: Revealing Customer Data

How CBA Obtained 90% of Its Customer and Transaction Information


Brief Overview

  • Commonwealth Bank has migrated to an SAP S/4 core, revealing 90% of customer data.
  • The modernization seeks to improve personalization and enhance behavioral banking.
  • Infrastructure expenditures decreased by 30% and performance enhanced by 30%.
  • Real-time data processing now enables advanced AI and machine learning integrations.
  • Strengthened system resilience and recovery times benefit all AWS users.

Harnessing Data Potential

Commonwealth Bank (CBA) has initiated a major transformation by shifting from an on-premises SAP R/3 core to an SAP S/4 core. This strategic transition, finalized in October of the previous year, has unlocked around 90% of the bank’s customer, account, and transactional data. This change allows CBA to utilize this data for profound personalization and behavioral banking.

Cloud Migration and Performance Enhancement

The shift to SAP S/4 hosted on AWS has resulted in a 30% cut in infrastructure costs and a 30% boost in system performance. This enhancement is particularly observable in quicker balance updates and real-time processing functions, like fraud detection and customer-specific pricing. The cloud environment accommodates millions of daily recalculations, improving customer experiences with customized fees and interest rates.

An Intelligent System

CBA’s evolution aims to transform its core banking system into a system of intelligence. The management of the bank’s data pipelines and analytics, along with AI applications, has become more efficient. Additionally, this transformation has streamlined operational frameworks, dismantling silos and promoting improved teamwork across divisions.

Insights from Real-Time Data

The modernization has diminished barriers to accessing data, enabling CBA to utilize it as a valuable source of customer behavioral insights. With real-time data signals, the bank can support sophisticated AI solutions, channeling data to Amazon SageMaker and Amazon Bedrock for advanced machine learning and generative AI projects.

Improvements in Resilience and Recovery

The core upgrade has also fortified system resilience. CBA has reduced the recovery time objective from 90 minutes to 16 minutes, with additional optimizations achieved through partnerships with SAP, Red Hat, and AWS. These enhancements, including upgrades to AWS EC2, are now accessible to all AWS users.

Conclusion

The core modernization initiative at Commonwealth Bank has unlocked substantial data capabilities, enhancing personalization and behavioral banking. The move to a cloud-based infrastructure has lowered costs while boosting performance, and real-time data insights drive advanced AI applications. Enhanced system resilience benefits both CBA and AWS customers worldwide.

Questions & Answers

Q: What was the main aim of CBA’s core modernization?

A: The main aim was to unlock 90% of customer and transaction data to enable comprehensive personalization and behavioral banking.

Q: How has modernization affected CBA’s infrastructure expenses?

A: The transition to cloud services hosted on AWS led to a 30% decrease in infrastructure expenses.

Q: What performance enhancements have been observed?

A: A 30% enhancement in performance has been recorded, with quicker balance updates and real-time processing capabilities.

Q: In what way does modernization support AI and machine learning?

A: The system now effectively delivers data to platforms such as Amazon SageMaker and Amazon Bedrock, facilitating advanced AI and machine learning applications.

Q: What improvements in resilience have been implemented?

A: The recovery time objective has been cut down from 90 minutes to 16 minutes, with enhancements available to all AWS users.

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