When it comes to Fair Lending, lenders should take a three-pronged approach; 

  1. Comply – Meet the specified regulatory mandate of annual data submission for loan information in the HMDA and CRA reporting requirements
  2. Assess – Identify and analyze the risks in key areas of Fair Lending namely Underwriting, Pricing, Redlining, Steering and Marketing. Additionally, perform a comparative analysis of firm’s fair lending performance against peer organizations 
  3. Prevent – Use advanced technologies like machine learning to predict credit decision outcomes based on historical data and compare it against actual approvals / denials and identify disparities and refine existing models and processes. Additionally, use alternative data such as customer complaints to identify any potential discriminatory lending scenarios 



fair lending in new bidden administration

This whitepaper explores the concept of Big Data, its history and how it is being leveraged by banks and financial institutions to obtain value from their data.


Let us understand how and why Big Data technology plays a pivotal role in the banking and financial sphere.