insideBIGDATA: The Most Common Bias in Data Is Gender Bias — Here’s How to Prevent It

The role of diversity in data collection and analysis has become more important than ever. While many hail data as "the great equalizer", it's crucial to ensure that it's collected and analyzed in a fair and accurate way. Gender bias in data, where data disproportionately or inaccurately represents one gender, can lead to products and services that don't meet the needs of half the population.

Michaël Pilaeten, CTG‘s Learning and Development Manager for European operations, explains how preventing gender bias can be achieved through acknowledging its existence and ensuring a diverse and representative sample population.

Read the full article, "Preventing Gender Bias in Data," here, published on InsideBIGDATA.