Australian Mutual Bank Data Streaming Pipeline & Warehouse PoC
CASE STUDY
The Opportunity
An Australian Mutual Bank (like many Mutual banks) had restricted access to their core banking data, this resulted in high touch and high-cost reporting for both internal and external requirements, a restricted view of ‘the customer’ and delayed reporting.
This created delays in decision-making and impeded risk management.
4impact's Approach
As a Proof of Concept (PoC), 4impact developed a cloud-based data streaming pipeline using Apache Kafka delivered on Confluents (fully managed) cloud-based management platform.
The pipeline ingested the extracted core data, then normalised, cleansed and formatted before inserting into a data warehouse.
The PoC demonstrated that the solution could be executed in scalable and repeatable manner, fully capable of managing production data when required.
Project Outcomes
Demonstrate how (closed) core banking data can be extracted, normalised and formatted was a key requirement of the PoC.
Once the (PII Obfuscated) data was at hand, the PoC moved into the implementation of a cloud-based Data Warehousing solution combined with Data visualisation and reporting Dashboards.
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An Australian Mutual Banks Data Streaming Pipeline & Warehouse PoC
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Note: The information presented in this case study is for educational and informational purposes only. Results or outcomes presented in the case study may not be typical and should not be used as a basis for making decisions without first consulting a qualified professional. 4impact disclaims any liability for any loss or damage resulting from the use of or reliance upon the information contained in this case study.