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Big data as a service (BDaaS) is a term typically used to refer to services that offer analysis of large or complex data sets, usually over the Internet, as cloud hosted services. Similar types of services include software as a service (SaaS) or infrastructure as a service (IaaS), where specific big data as a service options are used to help businesses handle what the IT world calls big data, or sophisticated aggregated data sets that provide a lot of value for today’s companies.
In general, big data as a service will offer various kinds of data analytics. For example, a company could use it to monitor a large SEO or Web content campaign that reaches a broad audience. In a BDaaS model, these services will commonly be offered over the Internet with key vendor storage and functionality tools located in the cloud. These setups help to provide agile services that can perform well, although businesses will not have control over many of the spaces over which their data traverses.
Experts have identified other common marketing strategies for big data as a service. One of these is the location of cloud data storage resources in combination with analytics, so that hot or cold data is stored near where it will be manipulated for analysis. This can help decrease the amount of effort needed to move data through an analytics program or platform. Other selling points of BDaaS include specific descriptions of how these tools can help present big data to busy managers in a cohesive and useful way, where predictive analysis companies are creating many different kinds of tools to help businesses get actionable results from data.