A global leader in designing, building, and servicing critical infrastructure that supports vital applications for data centers, communication networks, and commercial and industrial facilities. Operating in over 130 countries, it offers a comprehensive portfolio of power, thermal, and infrastructure management solutions, enabling the world’s leading enterprises to achieve their mission-critical goals.
• Extensive Data Migration: The project required the migration of data from over 35 legacy systems and 10 new platforms into a centralized Hadoop Data Lake and an integrated Oracle Cloud environment. This encompassed critical business data across the client’s global operations.
• Multi-Region Data Cleansing: Executed a thorough data cleansing process across 17 countries, ensuring compliance with regional regulations such as GDPR. The initiative involved meticulous data profiling and governance for over 2,000 databases.
• Cross-Platform Integration: Integrated data seamlessly from 40+ legacy systems, including SAP, Oracle EBS, and Mainframes, into the new cloud ecosystem using over 1,000 pre-built adaptors. This integration ensured compatibility and smooth transitions to the Oracle Cloud platform.
• Compliance Focus: Managed the sensitive migration of data, ensuring strict adherence to GDPR across EMEA, Asia, and North America, supporting the client’s global operational standards.
Client needed to modernize its data infrastructure by migrating from a complex legacy system environment to a centralized cloud-based solution. The goal was to enhance operational efficiency, improve data governance, and ensure compliance with global regulatory standards. The project required a solution that could handle the scale and complexity of the client’s global operations, involving multiple regions and legal entities, while minimizing disruption to ongoing business activities.
The migration involved consolidating data from a vast array of legacy systems, each with unique data structures and governance requirements. The technical challenge was to ensure data accuracy and integrity throughout the migration process, especially given the sensitive nature of the data and the need for compliance with regional regulations like GDPR. Additionally, the project required seamless integration across diverse platforms, including SAP, Oracle EBS, and Mainframes, into a unified cloud environment.
• Automated Data Migration with dataZap: ChainSys deployed dataZap to automate the extraction, transformation, and loading of data from legacy systems into the new Oracle Cloud environment. The solution utilized over 1,000 pre-built adaptors to manage complex data structures and ensure smooth transitions.
• Data Cleansing and Governance with dataZen: dataZen provided advanced data cleansing and governance capabilities, ensuring that all migrated data was accurate, compliant, and of the highest quality. The tool also supported ongoing data governance post-migration.
• Pre-Built Templates for Accelerated Migration: Utilized over 240 pre-built templates to streamline data migration processes, reducing manual intervention and enhancing data accuracy. These templates allowed for faster rollouts and more efficient management of complex data transformations.
• Compliance and Data Governance: Implemented rigorous data cleansing protocols and governance frameworks to maintain global data quality standards, ensuring compliance with GDPR and other regional regulations throughout the migration process.
• Superior Data Accuracy: Successfully migrated over 50 critical data objects, including Material Masters, BOMs, and Customer Master data, with an accuracy rate exceeding 99.9%, ensuring data integrity post-migration.
• Faster Rollouts: Reduced migration timelines by 60% through the use of 240+ pre-configured templates, streamlining complex data transformations and minimizing manual intervention.
• Operational Excellence: Enabled advanced operational reporting and analytics, enhancing the client’s ability to make data-driven decisions with integrated Customer 360, Spend Analytics, and C-Suite reporting across the new cloud platforms.
• Enhanced Predictability: Delivered a highly reliable and repeatable migration process, ensuring predictable outcomes across multiple phases of migration. This was supported by real-time dashboards for data validation and reconciliation.
• Global Data Governance: Maintained global data quality standards through rigorous data cleansing and governance protocols, significantly improving the integrity of the client’s transactional data across its newly integrated cloud platforms.
• dataZap: Facilitated the automation of data extraction, transformation, and loading processes, ensuring seamless transitions between legacy systems and Oracle Cloud with minimal disruption.
• dataZen: Provided advanced data cleansing and governance capabilities, ensuring that all data entering the new system was accurate, compliant, and of the highest quality.
• Pre-Built Templates: Utilized over 240 pre-built templates to accelerate the migration process, reducing manual workloads and enhancing data accuracy across all migration cycles.
• Complex Data Transformations Simplified: Automated extraction, transformation, and cross-reference management features simplified the handling of complex and conditional data logic, ensuring seamless data flow into Oracle Cloud.
