The text discusses the concept of data monetization, which involves transforming raw data into tangible economic value. This process is crucial for organizations to drive revenue, improve operational efficiency, and gain a competitive edge in the market. Data monetization can be categorized into internal models, external models, and embedded analytics, each offering distinct opportunities to generate value. To build an effective data monetization strategy, businesses must identify valuable data assets, ensure data quality, secure stakeholder buy-in, choose suitable monetization models, and address compliance and security challenges. The text also highlights the importance of best practices such as focusing on data quality and governance, starting small and scaling gradually, leveraging strategic partnerships, aligning monetization with business goals, measuring and optimizing ROI, and using tools like Acceldata to maximize data value.