Businesses use data analytics to measure customer satisfaction by analyzing feedback from various sources, including surveys, social media, and sales data. Advanced analytics techniques can identify trends and patterns in customer behavior, providing insights into what drives satisfaction or dissatisfaction. By implementing tools such as sentiment analysis, organizations can gauge public opinion and respond effectively. Additionally, tracking metrics like NPS (Net Promoter Score) helps measure customer loyalty and predict future revenue. Overall, leveraging data analytics enables companies to enhance products and services based on customer needs and preferences.