Mortgage risk prediction and Data  Lakehouse implementation for a US  based asset management firm

about the client
The client needed an AI based Mortgage risk management solution to track mortgage loses and increase operational efficiency 

The Challenge

Lack of a unified view of Loan and Mortgage data across borrower, property​.

Data received from multiple agencies via various channels and of different formats. 

Manual processing of data. Time to insights is too high. 

The current state impedes efficient operations and due diligence processes. 

What did Technologia do

Deployed end-to-end data management architecture using Azure Cloud Platform. 

Developed complex data processing pipelines using Azure Data Bricks and Azure Data Factory to collate multi-source data. 

Developed a Data Lakehouse architecture using Azure Data Bricks. 

Applications built to support and ease operational and approval workflow using Power Apps.  

Dashboards built on Power BI to provide insights. 

ML Models built using Azure ML studio to predict the risk of mortgages. 

The Results

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