Issue:
The client with global operations running from Australia and US, faced significant challenges due to scattered data across 20 sources and 80 geographical locations. These included data silos hindering a unified view, complex integration issues, varying data quality standards, difficulties in data access and sharing, increased IT complexity and costs, heightened compliance and security risks, delayed insights and decision-making, and inefficient resource utilization.
Solution:
- Implemented global data integration solution to consolidate data from 20 sources across 80 locations.
- Established data quality standards across regions in 12 months for consistent and reliable reporting.
- Developed advanced analytics and reporting supporting 5+ business units.
- Overhauled IT infrastructure to reduce complexity and operational costs.
- Established KPIs to track effectiveness of initiatives.
Impact:
- Improved data access and sharing efficiency by 60% through standardized data quality.
- Reduced IT operational costs by 30% in two years while maintaining 99% SLA for global operations.
- Reduced data quality issues by 70% through standardized data across regions.
Tools and Technologies :
- Microsoft Azure, C#, Azure Functions, Azure Service Bus, Azure Topics, Queues.
- Azure Subscriptions, GitHub Actions, Application Insights, Dashboards, KQL, Azure Alerts.
