Marketing data collection has significantly evolved from the 1980s, transitioning from reliance on basic CRM systems to leveraging advanced tools like Media Mix Modeling and Multi-Touch Attribution in the 2010s, and now embracing big data, AI, and machine learning for real-time analytics and personalized campaigns. This evolution has provided marketers with unprecedented insights into customer behavior, enabling more precise predictions and tailored strategies, although it presents challenges such as data privacy, integration, and quality. With the rise of privacy regulations like the CA Delete Act and GDPR, marketers face increased responsibilities in data protection, while balancing innovation and legal compliance. Big data offers opportunities for internal benefits, such as predictive analytics and real-time decision-making, and can be monetized by selling to AI model trainers, hedge funds, and corporations, thereby opening new revenue streams. Secure data collaboration platforms like Duality Tech provide solutions to safely share and monetize data while ensuring privacy, allowing marketers to enhance strategies, remain compliant, and explore new business opportunities.