'Bot Filtering' in web analytics is the process of identifying and removing bot traffic from data sets. This practice is crucial for ensuring the accuracy of analytics data, as bot traffic can significantly distort metrics such as page views, session duration, and bounce rates.

Effective bot filtering helps in providing a true representation of human user interactions on a website. It allows businesses to make data-driven decisions based on accurate and reliable analytics data, free from the influence of non-human traffic.

Bot filtering techniques have evolved to combat increasingly sophisticated bots. This includes the use of machine learning algorithms and pattern recognition to identify and filter out malicious bot traffic, safeguarding the integrity of web analytics data.