Data Modernization for a Large Southeast Asian Bank: Leveraging Azure and Power BI for Enhanced Insights .

Challenges.

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

• Limited Data Platform Usage: Underutilized data platform with high maintenance costs. 

• Lack of Insights: Difficulty in deriving actionable insights from fragmented data. 

• Fragmented Data Landscape: Disjointed data sources lacking integration and analytics capabilities. 

Solution.

Coforge implemented a comprehensive data and analytics transformation solution: 

• Azure-Based Data Lake: Developed a data lake with a data model and data dictionary for retail banking. 

• Analytics Center of Excellence (CoE): Established an Analytics CoE within the bank. 

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

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

• Interactive Dashboards: Created using Power BI for enhanced data visualization. 

• Data Science Use Cases: Leveraged Azure ML and Databricks for data science projects. 

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

Key Highlights: 

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

• Actionable Insights: Enabled the bank to derive actionable insights and establish an Analytics CoE. 

• New Opportunities: Identified opportunities to sell products and services. 

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

• Single Source of Truth: Established a unified data repository for customer data needs. 

• Cost Reduction: Significantly reduced infrastructure and license costs through Azure adoption. 

The Impact.

• Self-Service BI Empowered business users
• Data Management Single source of truth
• Cost Reduction Significant reduction in costs