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Data modernization for a large southeast asian bank leveraging azure and power bi for enhanced insights
Data Modernization for a Large Southeast Asian Bank: Leveraging Azure and Power BI for Enhanced Insights .
Overview.
A large bank in Southeast Asia servicing retail and corporate customers faced challenges with limited data platform usage, high maintenance costs, and lack of actionable insights. Coforge implemented a comprehensive data and analytics transformation solution, leveraging Azure Data Lake, Power BI, and Azure ML to enhance data insights, reduce costs, and empower business users with self-service BI capabilities.
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
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