Mortgage data is complex to handle due to its volume and stored inconsistently at varying time intervals. Data maintenance will be tedious for the organization, and it also subjects in deviation of tracking foreclose, forebear and buy/sell portfolio. A large mortgage servicer in North America enabled portfolio & mortgage analytics to build large voluminous data repository based on specific constraints. Maveric’s datatech team worked with the organization to analyze its unstructured data, and developed analytics workflows to extract meaningful data with the help of data stores which were powered by Oracle and Mongo. Explore how we took this challenge and provided feasible solution with our proactive mortgage predictive model to ease the decision-making process developed within stringent SLA’s.