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.