Cloud Adoption in Mortgage Industry

Fintech services are seeing an increasing adoption of hybrid cloud infrastructure reducing the footprint and size of traditional data centers. Hybrid cloud computing for Mortgage Industry deliver all the benefits of cloud computing like flexibility, scalability, and cost efficiencies with the lowest possible risk of data exposure. Benefits of hybrid cloud: Interoperability between cloud types.…

AI in mortgage industry

Analytics Driven Approach using AI in Mortgage Industry

As borrower demands and origination costs are rising, mortgage lenders are turning to data, analytics, and artificial intelligence (AI) in order to make better and faster business decisions. The implementation of AI in mortgage industry will help mortgage lenders to use analytics for making real time operational business decisions such as identifying fraud detection, assessing…

Improving Borrower Service

Improving Borrower Service using Salesforce Service Cloud

Mortgage lenders are trying to offer a seamless and pleasant experience for the borrowers who come to their digital platform looking for mortgage products and loan options. Salesforce can help lenders for improving the borrower digital service using Salesforce Service Cloud by unlocking third party data to achieve single view of the borrower. SalesForce Service…

RPA transform Mortgage Industry

How can RPA transform Mortgage Industry

Mortgage lenders are faced with the challenge of meeting rising borrower demands while maintaining tight compliance and process controls. Robotic Process Automation (RPA) is the technological solution that can help automate repetitive tasks, access unstructured data, and tap into data sources across legacy systems to meet borrower needs and compliance requirements. Here we will take…

Scope of Risk Analytics in Mortgage Banking

Mortgage lender can infuse every major decision to drive revenue, to control costs or to mitigate risks with data and analytics. Integrated risk management using risk analytics can trigger responsible and profitable growth for mortgage banks. Risk analytics in mortgage banking helps mortgage banks to identify, quantify and mitigate risks using data and analytics. Functional…

Data challenges in mortgage industry

Solving Data Challenges in Mortgage Industry

Big part of digital transformation in mortgage industry drills down to the number of data driven initiatives by mortgage lenders and banks namely AI/ML efforts, predictive analytics, data modeling and CRMs. Explosive growth in terms of total data volume poses many operational and data challenges in mortgage industry. Data challenges in mortgage industry The total…