Achieving 200% Business Intelligence Adoption and 300% Performance Enhancement
The Challenge
The manufacturing and distribution client faced limitations in scalability and was operating on outdated infrastructure for managing sales, customer, and product data. They also required a modern Business Intelligence environment that could support diverse global business units and accommodate future growth.
The Solution
A comprehensive transformation was carried out by migrating the existing Microsoft SQL Server to Google Cloud, enhancing scalability and flexibility. Advanced analytics and monitoring tools were used to maintain optimal performance and system health. This modernization improved data accessibility, operational efficiency, and enabled seamless global scaling while minimizing downtime.
The Result
Cost Optimization: Reduced costs through optimized usage patterns and demand-based scaling.
Performance Enhancement: Achieved 300% performance increase across the entire stack.
Enhanced Adoption: 200% increase in adoption of new Business Intelligence and analytics applications.
Improved Insights: Facilitated Global BI adoption, enhancing productivity and collaboration with valuable insights.
Achieving 200% Business Intelligence Adoption and 300% Performance Enhancement
The Challenge
The manufacturing and distribution client faced limitations in scalability and was operating on outdated infrastructure for managing sales, customer, and product data. They also required a modern Business Intelligence environment that could support diverse global business units and accommodate future growth.
The Solution
A comprehensive transformation was carried out by migrating the existing Microsoft SQL Server to Google Cloud, enhancing scalability and flexibility. Advanced analytics and monitoring tools were used to maintain optimal performance and system health. This modernization improved data accessibility, operational efficiency, and enabled seamless global scaling while minimizing downtime.
The Result
Cost Optimization: Reduced costs through optimized usage patterns and demand-based scaling.
Performance Enhancement: Achieved 300% performance increase across the entire stack.
Enhanced Adoption: 200% increase in adoption of new Business Intelligence and analytics applications.
Improved Insights: Facilitated Global BI adoption, enhancing productivity and collaboration with valuable insights.
