Which of the following best defines a data ecosystem?

A data ecosystem is best defined as the interactions that manage, store, and analyze data. This concept encompasses the various components involved in the lifecycle of data, including how data is generated, processed, stored, and utilized for analytical purposes.

In a data ecosystem, there are multiple elements at play, such as data sources, databases, analytical tools, and the people or processes that handle data management. The relationships and interactions among these components are critical for effective data analysis and derive insights that can lead to informed decision-making. This holistic view highlights the importance of understanding the environment in which data operates, beyond just treating it as a static collection of information.

Other options describe aspects related to data but do not capture the comprehensive nature of a data ecosystem. The first choice, while relevant, narrows the focus to only data used in analysis, missing the interactions and structures that facilitate those analyses. The second option refers to modeling from raw data, which is a component of the ecosystem but does not cover the full scope of data management and analytics processes. The fourth option focuses on data as a problem-solving tool, rather than on the intricate systems and interactions that define a data ecosystem.