Power BI Migration and Modern Data Intelligence Platform

Power BI Migration and Modern Data Intelligence Platform

Client is a Fortune Global 500 company, leading in packaged foods and beverages. It has interests in the manufacturing, marketing, and distribution of grain-based snack foods, beverages, and other products.

Challenges

  • Limited Scalability: The existing infrastructure cannot handle growing data volumes or complex reporting requirements.
  • Inefficient Data Access: Slow performance and manual processes hinder timely access to critical insights.
  • Lack of Modern Features: SAP BI lacks the advanced features and capabilities offered by modern data visualization tools.
  • Data Silos: Data is fragmented across multiple systems, making it difficult to get a unified view of the business.

Solutions

  • Data Migration and Integration: Migration of SAP BI Reports: Transitioned existing SAP BI reports to Power BI, ensuring data integrity and continuity. ETL and Data Pipelines: Employed Azure Data Factory and Databricks for efficient ETL processes and data pipeline management.
  • Modern Data Warehouse Platform Development: Data Lake Storage: Implemented a data lake on Azure for scalable and cost-effective data storage. Data Modeling and Warehousing: Used Azure Synapse Analytics to build comprehensive data models and a robust data warehouse. Reporting and Self-Service BI: Developed interactive and dynamic reports in Power BI, enabling self-service analytics for business users.

Results

  • Enhanced Reporting Capabilities: Leveraged Power BI’s advanced analytics and visualization features, providing richer insights and more interactive reports.
  • Scalable Data Infrastructure: Implemented a scalable and efficient data platform on Azure, supporting future growth and data management needs.
  • Improved Self-Service Analytics: Empowered business users with self-service BI capabilities, reducing dependency on IT and enabling faster decision-making.
  • Cost Efficiency: Achieved cost efficiency through the use of Azure’s scalable and flexible cloud services, optimizing resource utilization.

Case Studies