Case Study

Unlocking Business Insights and Driving Efficiency Through Cloud Migration and Automation

Achieving 5% Sales Growth, 30% Cost Savings, and 94% Improvement in Reporting Efficiency with Snowflake and SSIS

Elaborate on the Challenge

The client, a mortgage lender in the US struggled with unstructured mortgage data scattered across multiple, disparate systems, leading to inefficient and inaccurate business insights. Managing high-volume data was challenging, as it was stored on-premises, making it both costly and time-consuming to scale operations up or down. The lack of a clear technical and data strategy, coupled with ad-hoc and unstructured jobs, further hindered their ability to derive valuable insights and optimize data management. As a result, the business faced increased operational costs, delayed decision-making, and missed growth opportunities. Resolving these issues was crucial to improving data accessibility, accuracy, and scalability, enabling more informed decision-making and supporting future business growth.

Objective Summary

Streamlining Data Management and Empowering Insights through Cloud Migration and Automation

Business Impact

5%

Increase in sales performance

Reduction in operational costs

30%

94%

Improvement in Report Generation

The Solution

Empowering Data-Driven Decisions: Streamlining Reporting and Data Management with Cloud Migration and Automation

Unified Data View: Centralized data visualization through PowerBI for enhanced business insights and informed decision-making.
Cloud Migration: Migrated data from on-premises SQL server to Snowflake to improve scalability and reduce costs.
Data Transformation: Optimized data processing by simplifying complex SQL queries into SSIS-based transformations.
Automated Reporting: Streamlined report generation using SSRS, ensuring timely and accurate delivery based on predefined schedules.
Tools and Technologies: Leveraged SSIS, SSRS, PowerBI, SQL, SSMS, and Snowflake to build a seamless, efficient solution.