SUCCESS STORY

AI-Powered Data Pipeline Migration for a Global Consumer Goods Company

AI-Accelerated Data Pipeline Modernization for Enterprise Analytics

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Client

Global Consumer Goods Company

Industry

Consumer Goods

Estuate Expertise

Data & AI | Data Engineering | AI-Powered Migration | Incorta | Google Cloud

About the Client

A leading global toy and entertainment company with a portfolio of some of the world’s most recognized consumer brands. The company operates across multiple international markets and manages complex business processes, enterprise applications, and large volumes of data to support its global operations.

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Case Study

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Business Challenge

The client relied on Google Cloud Dataprep to power business-critical data pipelines supporting supply chain, demand planning, sales, financial forecasting, and enterprise reporting. With Dataprep reaching end of life, the organization needed to migrate its data transformation workflows to Incorta without disrupting business operations.

The key challenges included:

Migrating complex legacy data pipelines to a modern analytics platform
Preserving years of business rules, transformation logic, and historical data processing
Rebuilding data loading, update, and merge processes without affecting downstream systems
Validating migrated data to ensure reporting accuracy and business continuity
Reducing manual analysis effort while accelerating migration timelines

Estuate Solution

Estuate partnered with the client to modernize its enterprise data platform by combining deep data engineering expertise with RefactorIQ, Estuate’s AI-powered migration accelerator.
The solution included:

Analyzing Google Cloud Dataprep workflows using AI to automate requirements analysis and SQL generation
Rebuilding complex data transformation logic on Incorta while preserving existing business rules
Re-implementing historical data tracking and incremental data processing
Migrating data loading, update, and merge operations to ensure seamless business continuity
Validating migrated data through record-level comparisons to ensure accuracy
Implementing automated monitoring and alerts to proactively identify data quality issues
Simplifying the overall data architecture to improve performance, scalability, and maintainability

Business Impact

Estuate delivered a modern, scalable analytics platform that accelerated migration while reducing operational complexity and business risk.

Saved hundreds of developer hours through AI-assisted pipeline analysis and SQL generation
Accelerated migration from Google Cloud Dataprep to Incorta while reducing manual effort
Preserved years of business logic to ensure accurate reporting and historical data continuity
Simplified a complex multi-tool data architecture, improving maintainability and operational efficiency
Enabled near real-time analytics for faster business insights and decision-making
Maintained uninterrupted reporting across supply chain, demand planning, sales, and finance
Strengthened data reliability through automated validation, monitoring, and proactive alerts
Established a scalable foundation for future analytics, AI, and enterprise growth

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