When we first sat down to understand the client’s challenges, it was clear that they required a financial restructuring, operational improvements, and digital transformation. By offering two Azure-based solutions to them, these steps were taken into account.
Unified Data Platform with Azure Fabric
Our developers implemented Microsoft Fabric along with OneLake and Power BI to help the client create a centralized system for data transformation, analytics, and AI integration across departments.
Scalable Storage with Azure ADLS
We built a secure and efficient storage setup using Azure Data Factory, ADLS Gen2, BLOB, Azure SQL, and Data Explorer. This gave the client a flexible and well-governed data environment that supports future growth.
Data Integration and Management
AI and Analytics Enablement
Scalability and Performance
Data Storage and Processing
Business Intelligence and Reporting
Security and Compliance
The shift to automated data workflows helped the client cut operational costs by 15–20% and improve cash flow management by up to 25%.
AI-powered insights and real-time analytics boosted forecasting accuracy by 25% and supported a 10–15% increase in revenue through better decision-making.
Data processing became 40% faster with 30% less manual work, thanks to Azure Data Factory and OneLake.
Power BI replaced manual reports, reducing reporting time from days to minutes and improving response time across teams.
A fully cloud-native Azure setup ensures security, flexibility, and room for future growth, setting the foundation for sustained digital success.
The integrated solution simplified data workflows, minimized manual processes, and allowed the client to access real-time insights. This helped their teams make faster, more informed decisions and improve overall performance.
Financial Services & Banking
US
End to End Project Lifecycle Management
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Business Development Head
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