About The Client
The Client is a leading Asian financial institution, 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.
In addition to data operations, our consultants support various non-data initiatives across the bank, including AML, Temenos implementation, Neoxm, Cards, Core Banking application support, and other critical banking functions.
Created and supported multiple data platforms and solutions, including Regulatory Data Mart (FATCA), Retail Data Mart, Operational Data Mart, Analytical Data Mart, and Reporting Data Mart.
- Supported Customer Segmentation initiatives and data feeds to the Credit Engine.
- Supported a Data Lake that consumes approximately 15,000 files daily, enabling the Analytics team to access more frequently refreshed data.
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 client’s data team and improved the various data activities.
- 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)
Enabled the client to move from monthly data availability to more frequently refreshed data for analytics, supporting faster and more current insights.
Strengthened regulatory, retail, operational, analytical, and reporting capabilities through the development of specialized data marts.
Supported critical banking functions beyond data operations, helping extend technology support across multiple business and application areas.
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.
Related Case Study


