Modernizing Business Intelligence Infrastructure with Azure and AI-Driven Solutions

challenge

Outdated Business Intelligence System

A regional credit union in Washington State had outgrown their current business intelligence system, which was an on-prem data warehouse that was heavily reliant on manual processes and lacked scalability. This limitation created a backlog of essential reports needed for tasks such as loan prospecting and risk assessments, making it difficult for our client to understand their customers and develop tailored products to meet their needs. Additionally, some departments were unable to access these reports, causing delays in business operations which led to a decline in customer satisfaction. The credit union also aimed to adopt AI tools within their database, but their current system couldn’t support the integration of these technologies. To overcome these challenges, our client needed a partner to guide them in transitioning to a scalable, flexible infrastructure while maintaining seamless business continuity.

Key Outcomes

3x faster

code deployment using AI augmentation

75% decrease

in SQL licensing cost savings

solution

Azure Infrastructure with AI-Powered Code Deployment

To address our client’s challenges, we began with an in-depth analysis of their existing architecture and conducted stakeholder interviews to determine the most suitable cloud platform for their needs. Based on our findings, we migrated their homegrown monolithic SQL database to a cloud-based Azure infrastructure. Leveraging AI-powered code development, we accelerated the migration process for maximum efficiency.

Following the migration, we rigorously tested and validated data sources, API integrations, and ELT processes to ensure system reliability. We then implemented source control and CI/CD processes, enabling multiple developers to collaborate within the same codebase. This significantly boosted their operational resilience.

Finally, to support the client’s transition, we provided comprehensive training, detailed documentation, and a clear roadmap for continued infrastructure migration and development. These measures ensured the client’s team was well-equipped to manage and expand their new system effectively.

results

More Flexible, Scalable Environment Primed for AI Tooling

By guiding our client through this cloud migration journey, we enabled them to modernize their infrastructure and gain the necessary foundation to introduce AI tooling within their database. The use of AI during our coding process also made code deployment 3x faster, which amplified the cost savings for this engagement significantly. Our overall approach not only enhanced our client’s technological capabilities but also ensured team readiness, leading to improved customer service, scalability, and data-driven decision-making in the future.

Want to learn more? Let’s talk.

tech used

Microsoft Azure, Snowflake, Microsoft Azure Data Factory, Microsoft Azure LLMs, dbt

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Modernizing Business Intelligence Infrastructure with Azure and AI-Driven Solutions

Outdated Business Intelligence System

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