In the age of digital mortgages, the entire mortgage operations of loan origination to loan closing to post services which is highly regulated and complex is driven by transparent analytics. Data modeling plays an important role in driving this work flow to make a seamless experience for both borrowers and lenders. Data Models in Mortgage…
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Data Science is disrupting Mortgage Industry in an unprecedented manner and Mortgage banks are investing heavily to build infrastructure and technology to gather data, store them and use the data to extract important insights. The result is a win-win situation for both lenders as well as borrowers. Here are some ways in which Data Science…
Mortgage banks have with them a large database of information secured via loan origination platforms and other website features like contact forms, search patterns. Data visualization proves to be the most efficient way to make the most out of this data which includes demographic data to migratory data. Importance of Data Visualization Ease of finding…
The data accumulated by Mortgage banks via different data points have already run into Petabytes and is still counting. Mortgage banks can either choke on this data or leverage them to form customer centric strategies. These voluminous amounts of data are proving to be a double edged sword for the mortgage banking industry. Challenges…
Changing business landscapes and stiff competition has made Mortgage banks embrace technology to leverage the large database of client information which ranges from demographic data to migratory patterns. Business Intelligence tools are the latest addition to the arsenal of technological tools to augment decision making process for mortgage banks. Importance of Business Intelligence tools Measuring…