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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