Data as a Service (DaaS) is particularly at home in the areas of big data and smart data, digital transformation and artificial intelligence. The term describes a service in which data is no longer managed on in-house servers, but is instead obtained flexibly from the cloud. Companies no longer need to set up their own infrastructure for data storage and processing. They simply receive exactly the data they need directly via the internet - similar to a streaming service, only for data.
This means that even small and medium-sized companies can access high-quality information without the need for expensive databases or specialists. A typical example: an online retailer would like to integrate current weather data into its shop system in order to better forecast demand. Instead of having to collect and maintain this data himself, he can use a DaaS provider who delivers the current weather data directly to him in the desired form.
This saves time and costs and makes companies more flexible. Data as a Service (DaaS) is therefore an important building block for modern, data-driven business models and is becoming increasingly popular as part of the digital transformation.