Introduction
In the fast-paced world of information technology, one IT major embarked on an ambitious journey to revolutionize data management. Their mission: to transform and migrate IT data across multiple organizational verticals, including Sales Operations, Financial Services, Human Resources, Engineering Groups, Point Next, and Configure, Price, Quote (CPQ). This case study delves into the challenges faced, the innovative solutions implemented, and the remarkable results achieved along this transformative journey.
Client
A leading global IT organization.
Challenge
The client faced significant challenges in managing and transforming IT data across multiple organizational verticals, including Sales Operations, Financial Services, Human Resources, Engineering, Configure, Price, Quote (CPQ), and Point Next. Data was scattered across multiple systems, heavily reliant on manual handling, and impacted by inefficient ETL (Extract, Transform, Load) processes. Key issues included data duplication, load balancing gaps, unstructured data in Excel files, and the need to transition from legacy systems to modern cloud platforms while maintaining data consistency.
Solution
eClerx implemented a transformative solution to address these challenges. A central data repository was created to serve as a single source of truth, aligning all applications and ensuring data consistency across platforms. ETL processes were optimized to improve performance, while loosely coupled data components enhanced system scalability and resilience. Real-time Management Information (MI) and Business Intelligence (BI) reports provided actionable insights, while deduplication measures and streamlined data processing steps improved efficiency. The transition from legacy systems was carefully managed to ensure smooth migration without disrupting operations.
Impact
The project delivered substantial benefits, including the creation of a DataHub as a central repository enabling self-service and analytical reporting. Scalability was improved through table partitioning, incremental data loading, and optimized connection pooling. Real-time, reliable data became accessible, supported by a robust recovery mechanism for data failures. Over 400 million asset and invoice records and 4 million contracts were successfully managed and processed, with 50,000 customer records made accessible. Data transformation spanned 17 countries and involved analyzing 300 tables and over 2,000 field mappings. Custom ETL processing handled over 6 million records in just 15 minutes, supported by 500 API queries for enhanced data access.
By implementing this solution, the client achieved a significant transformation in data management, enabling efficient operations, improved decision-making, and global reach, setting a benchmark for data-driven excellence in the IT industry.
Keywords:
Results and Impact
The project delivered substantial benefits:
Scalability Improvements
Implementation of table partitioning, data snapshots, connection pooling optimization, and incremental data loading.
DataHub
A single source of truth for all data, enabling self-service and analytical reports.
Reliable Real-Time Information
Provision of real-time data that is both accurate and reliable.
Full Data Failure Recovery
A robust mechanism for data failure recovery and notification.
Results and opportunities
This project stands as a testament to the IT major’s commitment to innovation, efficiency, and data-driven decision-making. Through strategic transformation and meticulous execution, they have not only overcome challenges but also set new standards for data management in the ever-evolving IT landscape.
400M Asset and Invoice Data:
Successfully managed and processed.
4M Contracts:
Efficiently transformed.
50K Customers:
Data made accessible and manageable.
Global Reach:
Serving customers across 17 countries.
Complex Data Mapping:
Analysis of approximately 300 tables and over 2,000 field mappings for source and new databases.
Custom ETL Processing:
More than 6 million records processed in just 15 minutes, involving approximately 80 attributes.
API Queries:
Development of 500 API queries to facilitate data access and analysis.
Conclusion
The journey of IT data transformation and migration is far from over. As new opportunities and challenges emerge, the IT major remains steadfast in its commitment to leveraging data as a strategic asset for continued growth and excellence.