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Data as a Service: Selling Data Services as a Commodity
A new type of cloud vendor is appearing that provide service APIs to analyze and explore the data.   And it’s not just the tools, vendors are also collecting and providing curated data sets that can be tapped into and wired into applications and data analysis tools.
Author Robert Sheldon wrote that “there is no limit to the types of data that can be offered through a Data-as-a-Service (DaaS) platform. In addition to those already mentioned, DaaS can deliver census, financial, geographic, insurance, retail, supplier, and distributor data, as well as data from a number of other industries. And once the data has been consolidated and cleansed, a variety of applications (stand-alone, web-based, or mobile) can access the data at any time and from anywhere there’s an Internet or network connection. ”
Technologies like the Internet of Things (IoT) are also beginning to generate vast amounts of data.  Businesses are building platforms that capture and harness this data and make it available on demand.
David Yockelson, Gartner analyst, wrote that “with IoT, data will be generated by everything all the time, and winners will be those that are best able to harness that data, make sense of it, build rules governing its usage and its value and sell it back to the masses as it were… Â There are numerous gateways and connectors to hook in all sorts of home and commercial devices to capture the data streaming from them, and the more intelligent purveyors of those gateways and connectors are either providing their own algorithmic and analytical capabilities or partnering to delivery them.”
