Overview

A mid-sized U.S. financial organization was running critical data and reporting on an on-premises SQL Server setup that started to struggle as the business grew. They faced significant challenges in scaling the system, meeting strict compliance requirements, and maintaining data security. We migrated their databases and SSIS workloads to Azure, providing them with a more secure, scalable, and cost-effective setup that supports better reporting, automation, and compliance.

Client Background

A mid-sized U.S.-based financial services organization handled large volumes of financial data across transactional systems and reporting functions. These operations were supported by multiple interconnected databases and data processing workflows critical to daily business operations.

Challenges

• Legacy Setup Holding Back Operations: Their on-prem SQL Servers needed constant manual maintenance, and SSIS jobs were tightly tied to the same setup, making changes and scaling difficult.
• Security and Compliance Pressure: They had to meet strict financial regulations, ensure strong access control, and avoid any public exposure, which made the existing setup harder to manage.
• Rising and Unnecessary Costs: The infrastructure led to higher compute costs without actual usage or business value.

Solutions

• Moving to a Flexible Cloud Setup
  We moved their data and workflows to Azure using Azure SQL Managed Instance and Azure Data Factory, making the system easier to scale and manage.
• Streamlined Data Flow and Updates
  Data flow was automated using Azure Data Factory and Logic Apps to handle updates and notifications without manual effort or constant monitoring.
• Automation to Reduce Costs
  Automated system start & stop schedules, ensuring resources run only when needed and reducing unnecessary costs.
• Strong and Simple Security Setup
  Built a private, secure setup using a managed VNET, private endpoints, and identity-based access to protect sensitive financial data.

Business Value Proposition

• Smooth and Reliable Data Migration
  Moved 100GB data to Azure with minimal disruption and stable performance.
• Faster and Simpler Data Processing
  Replaced older processes, improving data flow speed by around 25%.
• Less Manual Work with Automation
  Automated data updates and alerts, reducing manual effort by nearly 30%.
• Lower Infrastructure and Running Costs
  Optimized usage reduced overall system costs by approximately 20- 25%.

Final Perspective

Krish turned a rigid, high-maintenance setup into a secure, flexible system, improving reliability, reducing costs, and making daily operations smoother, while helping the business handle growth and compliance with far less effort.