The subject of this transformation is one of the largest diversified conglomerates in Asia, operating at a massive scale across the retail, telecommunications, energy, and manufacturing sectors. With such a vast footprint, the organization generates high-volume, heterogeneous data that is vital for operational efficiency and executive decision-making. Their data strategy is foundational to maintaining competitive advantages in every industry they serve.
Large Asian Diversified Conglomerate
Migration from Legacy IDQ to Informatica CDI & CDQ
Cloud-Native Processing, Centralized Governance, Cost Reduction
Scalable, enterprise-wide data consistency and reduced operational overhead.
As the conglomerate grew, their reliance on legacy on-premise IDQ systems became a strategic bottleneck. The infrastructure struggled to keep pace with the modernization of their business units:
The cost and complexity of maintaining legacy data quality infrastructure were disproportionately high.
Aging systems could not efficiently handle the growing data volumes, resulting in slow processing times and limited scalability
Data quality standards were inconsistent across business units, making it impossible to enforce a unified governance policy enterprise-wide.
Legacy architecture lacked the agility required to integrate with modern cloud-based analytics platforms.
The organization executed a strategic migration, shifting their heavy-duty data quality workloads to the Informatica Intelligent Data Management Cloud (IDMC).
Migrated on-premise IDQ processes to Cloud Data Integration (CDI) and Cloud Data Quality (CDQ), enabling cloud-native performance.
Moved away from siloed rules to a unified, centralized governance framework accessible across all sectors.
Leveraged cloud-native automation to streamline data cleansing and validation tasks.
Implemented a platform that dynamically scales compute power based on the demands of retail, energy, and telecom data streams.
The transition successfully transformed data quality from a reactive, maintenance-heavy burden into an automated, high-performance asset.
Drastically reduced operational and infrastructure overhead associated with legacy hardware.
Achieved faster data validation and cleansing times, removing bottlenecks in analytics pipelines.
Built a high-performance environment that can easily expand to accommodate new data sources or business units.
Ensured that data quality standards are enforced uniformly across retail, energy, telecom, and manufacturing.
Established a modernized, cloud-native platform capable of supporting advanced analytics, AI initiatives, and real-time decision-making
DataINFA is a digital transformation partner that provides services, solutions, and product offerings that are structured to deliver growth and innovation. We provide a wide portfolio of consulting, resource outsourcing, and next-gen IT services that can enable our clients to attain their business goals.
