Dataset > Data Asset > Data Product

Doug Laney inspired me to define these three terms - I just want to keep these definitions here for future reference:

A "scholarly" version:

• Dataset is a measurable and portable unit of data.
• Data Asset is a dataset evaluated in its current state.
• Data Product is a data asset augmented to a marketable / consumable state and wrapped in metadata indicating all of its product metrics: quality measurements, intended use, origin, provenance, sensitivity, validity, etc.

A "conversational" version:

• Dataset is what you manage
• Data asset is what you value
• Data product is what you sell

Referencing Doug Laney's books:

• Dataset = material (data)
• Data Asset = Dataset subjected to Infonomics
• Data Product = Data Asset subjected to Data Juice