eAnalyzertm Loan Prediction – Overview
A predictive too powered by data science that helps save time and minimize risks, eAnalyzertm leverages the power of machine learning to reliably predict loan approval while providing recommendations to help improve the probability of securing a loan. Based on information collected from thousands of past loans, it analyzes key data elements from various sources (including loan application forms, bank statements, and credit reports) and compares them with vital factors (including average sales, average balance, and years of business operation).
Oftentimes, it is difficult to qualify prospects. By vetting leads in advance, eAnalyzertm provides meaningful insights that help make crucial business decisions, enabling loan origination companies to concentrate their focus on qualified leads and identifying areas applicants can improve to make loan approval more likely. This reduces time and verifies results, leading to a more efficient, complete, and accurate decision-making process.
eAnalyzertm is based on a machine learning engine that uses predictive modeling to give you crucial information. It is constantly improving by gleaning data from new sources.