Data democratization in product analytics aims to make product data accessible to everyone in the organization, not just specialized teams or data experts, by breaking down silos, providing tools, and establishing data governance procedures. This process enables a culture of data-driven decision-making throughout the enterprise, fostering collaboration among departments such as sales, marketing, customer success, and software development. Data democratization helps organizations build more successful products by empowering users to make data-driven decisions about product development, feature prioritization, user experience design, sales and marketing strategy, customer retention, and more. The process also removes bottlenecks between users and insights, saving IT departments time and resources. However, achieving data democratization is challenging due to complexity of data analytics infrastructure, siloed data, lack of centralization, data security and privacy concerns, data literacy gaps, and data quality issues. Organizations must invest in modernizing their data analytics infrastructure, breaking down data silos, establishing effective data governance protocols, investing in data literacy training, and using tools like ChaosSearch to overcome these challenges and unlock the full potential of product data.