The term \u201cdata product\u201d originated from data science. At least, I first heard this term from data scientists. My latest investigations have demonstrated that no aligned definition of this term exists.<\/p>\n
According to the Forbes Council, a data product is \u201ca self-contained data \u201ccontainer\u201d that directly solves a business problem or is monetized.\u201d<\/p>\n
This definition assumes that a data product can be of any type, digital or non-digital. A report, dashboard, and data set are examples of a data product in this context. The level of a data model of the data set is not defined. I’ve seen in practice that some companies define a data product at the logical, application-agnostic level of a data model. Others do it at the application physical level.<\/p>\n
Gartner defines a product in the digital business context as \u201ca named collection of business capabilities valuable to a defined customer segment. A product may be just software and data. Alternatively, it may comprise any combination of software, hardware, facilities, and services as required to deliver the entire product experience. A product may be a repeatable service (for example, a subscription service), or it may be a platform (one-sided or multisided).\u201d<\/p>\n
So, this definition extends sufficiently the components of a data product by including software, hardware, etc.<\/p>\n
Zhamak Dehghani, in her book about data mesh, also promotes the extended scope of a data product: data and metadata, codes for pipelines and APIs, and infrastructure.<\/p>\n
To summarize all discussed above, a data product is an output of a data-related process that can include data, metadata, software, application, database, and service. Infrastructure (hardware and networks) are optional components.<\/p>\n
So, any organization has many options to define the data product to fit its needs and understanding of data management.<\/p>\n
How Do YOU define a data product in your company?<\/p>\n","protected":false},"excerpt":{"rendered":"
The term \u201cdata product\u201d originated from data science. At least, I first heard this term from data scientists. My latest investigations have demonstrated that no aligned definition of this term exists. According to the Forbes Council, a data product is \u201ca self-contained data \u201ccontainer\u201d that directly solves a business problem or is monetized.\u201d This definition […]<\/p>\n","protected":false},"author":481,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[11],"tags":[],"acf":[],"yoast_head":"\n