Owners and operators in the multifamily housing industry are always looking for better ways to optimize revenue. Few, however, think of doing so by managing risk through decision science at the time of application.
Statistical lease screening weighs positive and negative performance attributes (which are proven to predict lease performance) and assigns a risk-ranked score to each applicant. This score helps owners and operators efficiently choose the best residents by incrementally adjusting the risk of acceptance criteria via decision points at any given time as the community's environment changes.
The CoreLogic Decision Science White Paper, developed by our Decision Analytics and Research Team discusses the differences between rules-based and statistical lease screening, along with the advantages of statistical lease screening.
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