Platform Migration (GCP)

Streamlined data migration to the cloud with automated data validation.

Challenge At Hand

Our client, a prominent Australian real estate giant, had established an on-premise operational data warehouse using Oracle software and WhereScape Red for ETL pipelines. They aimed to migrate their data warehouse to the Google Cloud Platform (GCP) to achieve enhanced flexibility and scalability. 

Solution: Ingrity's Approach

Ingrity worked closely with our client to develop an automated data validation framework. This framework ensures the completeness and accuracy of data loaded onto the new GCP platform, automatically and at scale. By instilling trust in the migrated data, our client’s business users swiftly embraced the cloud, leading to reduced operational costs and accelerated adoption. 

Furthermore, we provided recommendations on selecting optimal cloud asset configurations, prompting the client to take immediate action. As a result, they achieved a remarkable 80% reduction in software licensing costs. These savings were redirected towards building a unified data platform and analytics infrastructure on the Google Cloud Platform. Additionally, automated testing frameworks were integrated into daily data pipeline runs, generating real-time alerts to the data operations teams in case of data reconciliation errors. 

Customer Benefits

The migration to a modern data platform empowered our client to unlock numerous business use cases that rely on processing large volumes of data. This transformation allowed our client to redefine the services they offer to their customers, enabling them to deliver enhanced value and achieve a competitive edge in the real estate industry. 

By leveraging automated data validation and harnessing the capabilities of the Google Cloud Platform, our client experienced streamlined data migration, increased operational efficiency, reduced costs, and expanded opportunities for innovation and customer-centric offerings. 

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