CASE STUDIES

Advanced data analytics with power BI

01/CLIENT

a comprehensive debt management company offering services that span the entire value chain of debt management.

01/ Enhance Decision-Making with Data-Driven Insights
02/ Improve Operational Efficiency and Productivity
03/ Foster a Data-Driven Culture

02/GOALS AND OBJECTIVES
  • Cloud-Based Deployment: Implement a cloud-based BI platform to ensure scalability, flexibility and cost-effectiveness.
  • Fast Time to Market and Predictable Development Cycle: Ensure that the data analytics solutions can be delivered quickly and address actual business needs and market challenges.
  • Standardized Analytical Structure Across company: Establish a standardized structure for analytical solutions and reporting across company, creating a more agile, transparent, and secure analytical environment.
  • Robust Data Security and Compliance: Implement strong data security measures to ensure customer data privacy and compliance with high-demanding regulations in financial services sector.
03/SOLUTION

Technology Stack:

  • Cloud-native DWH core, based on Azure services
  • MS Azure  Data Factory for data integration solution
  • Azure Synapse Analytics services for robust analytical solutions
  • MS SQL for data storage
  • Power BI  – primary visualization tools