Data bias

Data bias is a systematic error in how financial data is collected, analyzed, or interpreted. It leads to skewed results and reduces the accuracy and objectivity of data-driven insights and decisions in finance.

Example

A credit scoring model may contain data bias if it relies on historical lending data from one demographic group or geographic region. In that case, its predictions may fail to reflect the creditworthiness of a broader borrower base, which can lead to unfair or discriminatory lending decisions. To reduce data bias in finance, teams need data collection and analysis methods that are representative, tested, and free from systematic distortion.