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Development of a Data-Driven Customer Personalization Platform for a Multinational Bank
  1. case
  2. Development of a Data-Driven Customer Personalization Platform for a Multinational Bank

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Development of a Data-Driven Customer Personalization Platform for a Multinational Bank

scalosoft.com
Financial services
Retail
Information technology

Challenge in Customer Personalization Due to Data Fragmentation

The bank struggles to deliver personalized banking experiences despite holding vast customer data across legacy systems. Existing infrastructure lacks the capability to extract actionable insights, standardize data formats, or visualize customer behavior patterns effectively.

About the Client

A global financial institution offering savings accounts, loans, mortgages, and investment services with a focus on digital transformation

Key Objectives for Data Modernization and Personalization

  • Extract and integrate customer data from legacy databases
  • Implement standardized data processing pipelines
  • Develop interactive Power BI dashboards for real-time analytics
  • Ensure compliance with financial data security regulations
  • Enable customer behavior analysis for personalized service offerings

Core System Functionalities for Data Transformation

  • Automated data extraction from Teradata and Oracle databases
  • Data cleaning and format standardization workflows
  • Secure customer data storage architecture
  • Power BI dashboard with customizable KPI visualizations
  • Role-based access control for sensitive financial data

Modernization Technology Stack

Power BI
Python
SQL
Teradata
Oracle

Critical System Integrations

  • Legacy banking databases
  • Enterprise security management systems
  • Cloud-based analytics platforms

Operational Excellence Requirements

  • Enterprise-grade data encryption at rest and in transit
  • High-performance data processing for large datasets
  • Scalable architecture for future data growth
  • Compliance with GDPR and financial industry regulations

Expected Business Impact of Enhanced Data Utilization

Implementation will enable 360-degree customer views, reduce manual reporting efforts by 70%, and increase personalized product adoption rates through data-driven recommendations. The solution will position the bank as a leader in digital customer experience within the financial sector.

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