The final goal in data science is to solve problems by adopting data-intensive solutions. The focus is not only on answering questions but also on satisfying business requirements.
Just building data-driven solutions is not enough. Nowadays, any app or website is powered by data. Building a web platform for listing items on sale does consume data but is not necessarily a data product.
Mike Loukides gives an excellent definition:
A data application acquires its value from the data itself, and creates more data as a result; it's not just an application with data; it's a data product. Data science enables the creation of data products.
From "What is Data Science" (https://www.oreilly.com/ideas/what-is-data-science)
The fundamental requirement is that the system is able to derive value from data—not just consuming it as it is—and generate knowledge (in the form of data or insights) as output. A data product is the automation that let you extract information from raw data,...