Which term describes turning data into a source of revenue?

Which term describes turning data into a source of revenue?

• A. Data analytics
• B. Data monetization
• C. Big Data
• D. Database uses

Answer: (B)

Turning data into revenue is data monetization. It means treating data as an asset you can package and sell or use to create new revenue streams—such as licensing datasets, offering data-driven services, selling insights, or building data products. Data analytics, by contrast, is the process of examining data to extract insights; it supports decision-making but isn’t itself the act of making money. Big Data describes the scale and technologies for handling massive datasets, not the revenue angle. Database uses are general ways you might store and access data, not specifically about monetizing it. So data monetization best captures the idea of turning data into a source of revenue.

Turning data into revenue is data monetization. It means treating data as an asset you can package and sell or use to create new revenue streams—such as licensing datasets, offering data-driven services, selling insights, or building data products. Data analytics, by contrast, is the process of examining data to extract insights; it supports decision-making but isn’t itself the act of making money. Big Data describes the scale and technologies for handling massive datasets, not the revenue angle. Database uses are general ways you might store and access data, not specifically about monetizing it. So data monetization best captures the idea of turning data into a source of revenue.