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Coforge: Where AI engineering meets industry expertise.

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Composable Enterprise

CASE STUDY

Leading US Hospitality Brand Achieved 30% Cost Savings and Retired Legacy Systems Using Azure-Based Data Warehouse Platform

Industry

Hospitality

Our Contributions

Data Modernization, Analytics, Cloud Migration

Location

US

Technologies

Microsoft Azure, Azure Spark, Databricks

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A leading hospitality brand reduced cost by migrating from a legacy Teradata platform to an Azure-based data warehouse. Coforge implemented a cloud-native architecture, automated migration accelerators, and a phased transition strategy to reduce complexity, improve scalability, and enable faster analytics.

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The Challenge

The client is a premier hospitality brand in the United States, renowned for luxury resorts, world-class hotels, and unmatched entertainment experiences. Unfortunately, it had a 20+ year-old Teradata environment that had become increasingly costly and difficult to maintain.

With more than 100 databases and 100,000 ETL scripts, the platform limited scalability, slowed access to insights, and complicated the adoption of modern analytics capabilities.

The organization needed a cloud-first data strategy that could reduce costs, simplify operations, and create a scalable foundation for future growth without disrupting business operations.

Our Approach

 

Coforge designed and implemented a modern Azure-based data warehouse platform to accelerate cloud adoption, streamline analytics, and reduce reliance on legacy infrastructure. The solution combined automation, cloud-native services, and a phased migration strategy to minimize risk and accelerate delivery.

Cloud-Native Data Platform

We built a unified Azure-based architecture using ADLS and Azure SQL technologies, creating a scalable foundation for enterprise analytics and reporting.

Accelerator-Driven Migration

Our proprietary accelerator automated ingestion, schema conversion, and SQL transformation, reducing migration effort and accelerating delivery timelines.

High-Performance Data Engineering

We leveraged Azure Data Factory, Databricks, and Spark-based ETL processes to improve data ingestion, transformation, and operational efficiency.

Low-Disruption Transition Strategy

A hybrid migration approach utilizing DataStage and Datometry enabled a controlled transition while maintaining business continuity throughout the modernization effort.

Enterprise Data Consolidation

We consolidated multiple legacy warehouse environments into a single source of truth, simplifying analytics and improving data accessibility across the organization.

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Impact to Date

Coforge helped the client replace a costly legacy environment with a modern, cloud-based analytics platform. The transformation reduced operational costs, accelerated migration timelines, and established a scalable data foundation capable of supporting future innovation and data-driven decision-making.

30%

Cost savings through modernization and automation

25%

Faster migration timelines with delivery accelerators

Business Impact

 

  • Retired legacy Teradata environments and associated technical debt.
  • Consolidated enterprise data into a unified analytics platform.
  • Established a future-ready foundation for advanced analytics.

With a scalable Azure-based data platform in place, the organization can accelerate analytics initiatives, improve operational agility, and deliver more data-driven guest experiences while continuing to innovate and grow.