Building a Modern Data Infrastructure: Streamlining Data Operations for a Leading HR Solutions Provider
Overview.
A leading HR solutions provider struggled with data management and integration issues, facing delays, integration complexities, inefficiencies, and scalability challenges. Coforge implemented a Build Operate Transfer (BOT) model to overhaul the provider's data infrastructure, utilizing advanced tools and automation to enhance operational efficiency, improve data availability, and support scalable growth.
The client encountered significant challenges in their data management processes:
Data Delays: Excessively long preparation times for data analysis.
Integration Problems: Complex and error-prone data integration from various sources.
Inefficiency: High levels of manual intervention leading to frequent errors.
Scalability Issues: Inability of the existing system to handle increasing data volumes and new requirements.
Solution.
Coforge proposed a strategic solution leveraging a Build Operate Transfer (BOT) model:
Data Collection: Utilized Golden Gate for rapid data extraction and Informatica for data cleansing and preparation.
Data Processing: Employed PL/SQL for advanced data transformation and automated tasks using Python and shell scripts to reduce manual intervention and errors.
Data Reporting: Developed user-friendly applications using Tableau and managed large data volumes efficiently with Redis DB and Mongo DB.
Key Highlights:
Coforge's comprehensive solution delivered significant business value:
Faster Data Availability: Ensured near-instantaneous data availability, improving the speed of analysis.
Improved Decision-Making: Provided up-to-date insights, enabling more informed decisions.
Increased Efficiency: Reduced manual work and errors through automation, boosting productivity.
Scalability: Developed a system capable of handling increased data volumes and new requirements by migrating to cloud technologies.
