Data as a service

Data as a service (DaaS) is a cloud-based software tool used for working with data, such as managing data in a data warehouse or analyzing data with business intelligence. It is enabled by software as a service (SaaS).^[1] Like all "as a service" (aaS) technology, DaaS builds on the concept that its data product can be provided to the user on demand,^[2] regardless of geographic or organizational separation between provider and consumer. Service-oriented architecture (SOA) and the widespread use of APIs have rendered the platform on which the data resides as irrelevant.^[3]

Data as a service as a business model is a concept when two or more organizations buy, sell, or trade machine-readable data in exchange for something of value.^[4]

^ Machan, Dyan (August 19, 2009). "DaaS:The New Information Goldmine". Wall Street Journal. Retrieved 2010-06-09. Unfortunately, the business world has given this baby a jargony name: data as a service, or its diminutive, DaaS.
^ Olson, John A. (January 2010). "Data as a Service: Are We in the Clouds?". Journal of Map & Geography Libraries. 6 (1): 76–78. doi:10.1080/15420350903432739.
^ Dyche, Jill. "Data-as-a-service, explained and defined". SearchDataManagement.com. Retrieved October 24, 2010.
^ "Data as a Service", IDC

[1] Machan, Dyan (August 19, 2009). "DaaS:The New Information Goldmine". Wall Street Journal. Retrieved 2010-06-09. Unfortunately, the business world has given this baby a jargony name: data as a service, or its diminutive, DaaS.

[2] Olson, John A. (January 2010). "Data as a Service: Are We in the Clouds?". Journal of Map & Geography Libraries. 6 (1): 76–78. doi:10.1080/15420350903432739.

[Dyche-3] Dyche, Jill. "Data-as-a-service, explained and defined". SearchDataManagement.com. Retrieved October 24, 2010.

[4] "Data as a Service", IDC

[1]

[2]

[3]

[4]