A Bank in India

The bank faced significant challenges in managing its data, as information was distributed across multiple source systems without a central data lake for analytics. This fragmentation hindered the bank's ability to build multiple data marts necessary for both historical and real-time reporting. Additionally, the existing source systems imposed constraints on data accessibility, limiting the bank's potential to develop AI/ML use cases. The need for a robust, cloud-based solution that prioritized security while addressing various data consumer needs became crucial for the bank’s operational efficiency and strategic planning.

Kaara developed a comprehensive data mart solution on the Azure platform that facilitated end-to-end data processing, from ingestion to the consumption layer. Emphasizing security, especially given the sensitive nature of banking data, the solution was built around the Data as a Product concept to cater to diverse consumer needs. Technologies utilized in the implementation included Azure Data Factory for data ingestion, Azure Synapse for analytics, Azure Monitor for tracking performance, Azure Databricks for data processing, Azure Firewall for security, and Azure SQL and Azure Storage for data management. This integrated approach ensured that the bank could effectively collate and analyze data from various sources.

With the implementation of the data mart solution, business users gained access to enriched analytics through Power BI, enabling them to derive insights from the consolidated data. This enhanced reporting capability allowed for better planning and more insightful performance reviews. Moreover, the bank was now equipped to pursue AI/ML use cases, such as risk prediction for loans, leveraging the organized data available from the silver tier for training purposes. This strategic shift not only improved operational efficiencies but also positioned the bank to capitalize on advanced analytical opportunities in the future.