Key Highlights

  • OptiSol collaborated with a leading environmental service provider to automate mortgage loan data processing, enhancing efficiency and reporting accuracy.
  • The client faced challenges with complex data, manual extraction inefficiencies, and the absence of an automated pipeline, leading to delays and reporting errors.
  • We implemented an automated pipeline for data extraction, validation, and storage, integrated AWS Lambda for accuracy, and developed a Power BI platform for real-time insights.
  • The solution improved data accuracy, streamlined reporting, ensured regulatory compliance, and empowered the marketing team with actionable insights for better decision-making.

Problem Statement

01

Data Complexity: The mortgage loan data was highly granular and voluminous, making it difficult to generate accurate and timely reports on loan details and processing.

02

Manual Processes: The manual extraction and uploading of large datasets created inefficiencies, introducing potential errors and delays in the data reporting process.

03

Lack of Automation: The absence of an automated data aggregation and validation pipeline resulted in slow processing, impacting the efficiency of downstream analytics and reporting.

Solution Overview

01

E-Manifest files were automatically downloaded and uploaded to the EPA site at scheduled intervals using a job setup, ensuring timely and consistent data transfer to the platform.

02

A pipeline was developed to extract the downloaded e-Manifest files and upload the data into multiple tables for further processing, with each data file being moved to an archive folder.

03

Aggregate data was stored in specially designed cubes based on multiple dimensions, providing an efficient structure for complex data analysis and reporting.

04

The data uploaded into the base tables was aggregated and validated using AWS Lambda functions, ensuring the accuracy and reliability of the data before it was used in analytics.

05

Customized PowerBI reports were created to provide actionable insights, and the marketing team was trained on how to use these reports effectively and generate new ones for ongoing data analysis.

Business Impact

01

Data Accuracy & Efficiency: Automated data aggregation and validation minimized errors, while eliminating manual processes streamlined data handling and enhanced productivity.
0
%
Reduction in manual errors

02

Real-Time Insights: The Power BI platform enabled the client’s marketing team to visualize complex datasets cohesively, providing real-time insights for strategic planning.
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%
Faster decision-making

03

Compliance & Reporting: Automated E-Manifest uploads ensured regulatory compliance, while structured data storage and pipelines enabled faster, scalable reporting.
0
%
Increase in compliance

About The Project

OptiSol collaborated with an environmental service provider to automate the processing of complex mortgage loan data, overcoming challenges related to manual extraction and inefficient reporting. The solution involved implementing an automated data pipeline for data extraction, validation, and storage, along with integrating AWS Lambda for accuracy and Power BI for real-time insights. This transformation streamlined reporting, ensured regulatory compliance, and improved data accuracy. The marketing team was empowered with actionable insights, enabling faster, more informed decision-making and enhancing overall business operations.

Technology Stack

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