Data as a service

[4] DaaS began primarily in Web mashups and, since 2015, has been increasingly employed both commercially, and within organizations such as the United Nations.

One result of this paradigm is the bundling of both the data and the software needed to interpret it into a single package, sold as a consumer product.

[6] The result of the combined software/data consumer package and required EAI middleware has been an increased amount of software for organizations to manage and maintain, simply for the use of particular data.

In addition to routine maintenance costs, a cascading amount of software updates are required as the format of the data changes.

Vendors, such as MuleSoft, Oracle Cloud and Microsoft Azure, undertake development of DaaS that more rapidly computes large volumes of data; integrates and analyzes that data; and publish it in real-time, using Web service APIs that adhere to its REST architectural constraints (RESTful API).

[15] The General Data Protection Regulation[16] has become the model for many national laws outside the EU, including the United Kingdom, Turkey, Mauritius, Chile, Japan, Brazil, South Korea, Argentina and Kenya, and formed the basis for the California Consumer Privacy Act.

[17][18] Another component of the business model is about ensuring that the customers may receive and use data to improve their own value propositions (products, services).

In this business model, data provides value as a support mechanism or a tool for creating other value propositions, that's why the revenue stream is typically quite a bit lower.

may monetize their own data by processing and enriching it with additional information, building machine learning models and launching them in production.

For instance, some DaaS providers focus on collecting and analyzing data from retail locations to help companies understand revenue patterns, customer behavior, and market trends, thereby informing site selection and expansion strategies.

There are companies in the DaaS market which offer weather forecasting services based on meteorological data collected around the world.