Enhancing Insights with Customer 360 & Big Data Solution for an APAC-Based Retail Bank .

Challenges.

The client faced significant challenges in their data management and analytics processes: 

• Inadequate Data Platform: No sufficient data and analytics platform to meet growing information requirements. 

• Lack of Business Performance Insights: Difficulty in understanding business performance, trends, and opportunities. 

• Poor Data Quality and Governance: Inconsistent and unreliable data quality and lack of proper data governance. 

Solution.

Coforge implemented a comprehensive Customer 360 and Big Data solution: 

• DLXpress Powered Data Lake: Developed an end-to-end Azure-based data lake. 

• Data Model and Dictionary: Created a detailed data model and dictionary for retail banking. 

• Cloud Data Warehouse: Set up for direct and multidimensional analysis. 

• Metadata-Driven Pipeline: Automated data quality and remediation processes. 

• Interactive Dashboards: Used Power BI to create interactive dashboards for data visualization. 

• Data Science Use Cases: Developed data science use cases for advanced analytics. 

• Agile Delivery Methodology: Ensured iterative and efficient delivery of solutions. 

Key Highlights: 

Coforge's solution delivered significant value to the client's operations: 

• Market Opportunity Identification: Helped the bank identify potential market opportunities. 

• Self-Service BI: Enabled business users to develop their own insights through self-service BI. 

• Performance Clarity: Provided a clear picture of branch, functions, and department performance. 

• Customer Risk Profiling: Created risk profiles of customers using a credit risk analysis model. 

• Robust Data Governance: Ensured robust data governance and high data quality. 

• Near Real-Time Information: Enabled users to access near real-time information. 

The Impact.

• Self-Service BI Empowered business users
• Customer Risk Profiling Improved with credit risk analysis
• Data Governance Robust and reliable