Data-Product vs Data-as-Product: Understanding the Difference

Data-Product and Data-as-Product Terminology

As a data architect, it is important to understand the difference between data-product and data-as-product terminology. Data-product refers to a product that is created using data as a raw material. This can include reports, dashboards, and other data-driven insights that are used to inform business decisions. On the other hand, data-as-product refers to the data itself being the product. This can include data sets, APIs, and other data-related services that are sold or licensed to other companies.

How They Are Different and Example

The main difference between data-product and data-as-product is that one is a product created using data, while the other is the data itself being sold or licensed. For example, a data-product could be a report that analyzes customer behavior and provides insights into how to improve sales. A data-as-product, on the other hand, could be a data set that includes information on customer demographics, purchasing habits, and other relevant data points. This data set could be sold to other companies who want to use it to inform their own business decisions.

How Companies Benefit from Data-as-Product

Companies can benefit from data-as-product in a number of ways. By selling or licensing their data sets, they can generate additional revenue streams. They can also use their data sets to build relationships with other companies and establish themselves as a trusted source of data. Additionally, companies can use their own data sets to inform their own business decisions and gain a competitive advantage in their industry.