About The Client
The Client is a leading Asian financial institution headquartered in Singapore, operating across more than 13 countries. The bank offers a comprehensive suite of financial services to retail and wholesale clients, including deposits, loans, cards, insurance, foreign exchange, and wealth management solutions.
Business Challenges
- As a large banking group, the client manages a complex data ecosystem with numerous in-house and vendor applications serving the financial needs of diverse client segments. All generated and collected data adheres to strict banking regulations for secure storage.
To enhance their data analytics capabilities and strengthen the surrounding data ecosystem, the client sought a skilled partner. Additionally, the client requires 24/7 on-site support to empower their data team to perform a wide range of activities.
What did we do?
- Deployed our data analytics experts’ team on various levels and skill sets which include ETL developers, ETL Testers, DevOps, Technical PM & Delivery Managers, System Analysts, Data visualization, Bigdata, Hadoop & Full Stack Developers.
Our team has quickly learned the client’s process and adapted with their work culture and started delivering the various key data projects for various regions.
Today, our 65+ team members work with 29 different data teams and deliver values in the data domain.
To support this initiative, we have dedicated HR professionals to support all our onsite team on various points (Travel, Visa, EP, Payroll, insurance and payroll).
Business Outcome:
Our team has strengthened the data team and improved the various data activities, enhancing overall data processing efficiency by 30% and reducing turnaround time for key data initiatives by 25%.
Helped Customer complete the major data migration, integration with new data systems & successfully supported various vendors & downstream applications for data management and changes around it. (Development, SIT, UAT & Prod releases)
Tools & Technologies:
ETL Informatica, Teradata, Cloudera, IBM AS400, RPGLE, ALDON, UNIX, SQL, Python, Oracle, Unix/Linxs,GIT, Big data, Hadoop, MS Dynamics CRM, Ruby, Chef, Data Warehouse, Data Modeling, BI, SAS, Teradata, Qliksense, QlikView.
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