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How a global automotive OEM’s captive finance organization unified multi-country analytics on Snowflake

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Delivered a single global view of portfolio health, delinquencies, originations, and dealer performance while preserving country-level compliance and autonomy

Reduced onboarding time for new countries from months to weeks through standardized dimensional models

Positioned the organization for advanced analytics including credit risk modeling, AI-driven customer insights, and global forecasting

Challenge

A global automotive OEM’s captive finance organization, operating across multiple countries, was struggling with fragmented data and inconsistent reporting. Each country functioned as a separate legal entity with distinct IT standards, preferred tools, and strict data residency and compliance requirements.

As a result of this lack of global cohesion, KPIs and reporting processes varied drastically by country, making it nearly impossible for leadership to gain a unified view of portfolio health. Compliance challenges further compounded this complexity, as each market required its own Snowflake account to meet regulatory and sovereignty mandates. Meanwhile, engineering teams across regions were rebuilding pipelines, models, and dashboards in silos, duplicating effort and driving up costs.

As the finance arm looked to modernize, it became clear that a new approach was needed that would harmonize reporting across borders, maintain compliance at the local level, and empower leadership with a global view of customer, dealer, and portfolio performance. 

Solution

To meet this challenge, the OEM partnered with Hakkoda to design and deliver a Snowflake-powered global analytics platform that balanced local compliance with enterprise-wide transparency. The architecture was designed to allow each country to retain its own Snowflake account in compliance with residency requirements, while a central Snowflake hub ingested summarized data and standardized KPIs to power global forecasting and portfolio analytics.

Hakkoda introduced a dimensional modeling framework that enforced global KPI alignment through templatized star schemas, while still granting each market the flexibility to extend models for their own unique needs. This balance of standardization and adaptability gave local teams confidence in the system while ensuring that executives could finally rely on consistent, cross-country insights. 

This new global analytics platform also integrated seamlessly with the OEM’s multi-cloud reality, leveraging Azure Data Factory for Azure-first markets and AWS Glue for those relying on AWS. Standardized DevOps practices, which used GitHub and Azure DevOps for repositories, CI/CD, and version control, were built to ensure compliance with local IT policies while unlocking new efficiencies across the organization. Finally, enterprise analytics tools such as Power BI and Tableau provided a common language for reporting, with global dashboards for executives and localized insights for country teams.

The model

Technology used:

Snowflake

Coalesce

Azure Data Factory & Azure DevOps

AWS Glue

Github

PowerBI

Tableau Icon Streamline Icon: https://streamlinehq.com

Tableau

Full time resources:

9 dedicated specialists

Project duration:

6 months from kickoff to global reporting go-live

“Captive finance organizations are under increasing pressure to deliver trusted insights across global markets while managing the complexity of local compliance. By combining a multi-country Snowflake architecture with standardized dimensional models, this OEM has built a foundation that drives both operational excellence and future-ready innovation.”
- Eric Barton, Global Head of Automotive at Hakkoda

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