90% automation and 20% leaner workflows, modernizing a leading automotive data foundation for agility and AI

Explore how FulkrumCloud enabled a leading automotive company to re-architect its data ecosystem and streamline the migration of legacy Informatica workflows into Azure Data Factory, creating a more agile, AI-ready data foundation

3-min read

Overview

Fortune 500 retail enterprise, the largest used-car retailer in the U.S., wanted to stay ahead of market dynamics by modernizing how data drives decisions.

Its leadership envisioned a business where pricing, inventory, and customer decisions were guided by accessible, trusted, and timely data intelligence. That vision demanded more than tools; it required a strategic data partnership.

With FulkrumCloud as its transformation ally and Snowflake as the cloud data foundation, the organization was able to re-architect its data ecosystem and streamline large-scale ETL modernization by migrating legacy Informatica workflows into Azure Data Factory (ADF), powering analytics, automation, and enabling faster, more trusted data flow across the enterprise.

Key Challenges

  • Legacy ETL systems slowed data refresh and decision cycles.
  • Fragmented data pipelines increased maintenance overhead.
  • Siloed data limited cross-domain visibility and scalability.
  • Lack of governance hindered analytics and AI readiness.

Solution

In partnership with company’s data and architecture teams, FulkrumCloud delivered an automation-led modernization framework emphasizing speed, governance, and transparency.

The FulkrumCloud Advantage:

  • CloudSense (Discovery & Profiling): Mapped dependencies and identified high-value modernization areas.
  • CloudForge (Automated Conversion): Migrated the legacy Informatica footprint into ADF with 90% automation, converting 675 workflows and 3,500 mappings.
  • CloudSure (Validation): Introduced auto-reconciliation and validation workflows, improving consistency and auditability.
  • Governance: Regular architecture reviews, sprint cadences, and BAU transition ensured alignment and transparency.

Benefits

40 subject areas

Leveraged Snowflake’s multi-tier data model across 40 subject areas to improve scalability and performance.

Event-driven orchestration

Event-driven orchestration and autoscaling cut idle compute and boosted efficiency.

Decommissioned ~20 % of legacy workflows

Decommissioned ~20 % of legacy workflows, simplifying operations and governance.

Continuous governance cadence

Continuous governance cadence with architect and SME alignment ensured transparency.

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ETL Modernization for Fortune 500 Automotive Retailer | FulkrumCloud Case Study