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fintech
Full-scale data modernisation for enterprise AI
Migrating a rapidly growing fintech to Snowflake, dbt, and Fivetran to enable scalability and lay the groundwork for enterprise AI.
The client
A rapidly growing software vendor that helps leading banks streamline and automate decision-making. As the business scaled, it set out to deploy AI across its products and needed a data platform strong enough to support that ambition.
Key metrics and results
20% lower data costs following the platform migration
Data source integration cut from 3 months to 1 week
Automated, extensible workflows across the full data estate
Self-service analytics opening capacity for innovation
AI-ready
data platform
The challenge
Growth had outpaced the client's data infrastructure. Data access was difficult to manage across teams, and the existing BI systems slowed down data retrieval, which delayed the insights the business relied on.
Integrating new data sources took months rather than days, and the underlying AI foundations, including data security, ethics, and DataOps, were not strong enough to support AI deployment at scale. The client needed a modern, unified platform before it could move forward with its AI plans.
The Solution
Data modernisation
We migrated the client's legacy systems onto a unified platform built on Snowflake and dbt, replacing fragmented tools with a single modern data stack.
Automated ingestion
We introduced Fivetran to automate data ingestion, cutting integration time and giving the team a repeatable process for bringing new sources online.
Self-service and AI enablement
We resolved hidden data quality issues with dbt-driven logic and Snowflake masking, then rebuilt dashboards to support self-service analytics and rapid prototyping with Streamlit, laying the groundwork for AI at scale.
The result
The new platform fully supports the client’s ambitions to scale the business.
Data access is now straightforward and secure, dashboards deliver fresh, reliable insights that used to take hours to prepare manually, and new data sources go live in under a week instead of three months.
The modernisation has brought data costs down by 20%, and with the fundamentals in place, the data team can turn its attention to AI innovation rather than platform upkeep.
Let’s walk the walk together
Our data expertise translates into cutting-edge, modular solutions that empower people and help organisations thrive in the era of AI.
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