What are “Data Flows” in Oracle Analytics?

"Data Flows" in Oracle Analytics refer to sequences of data transformation steps that are designed to manipulate, refine, and prepare data for analysis and visualization. This functionality allows users to create a systematic approach to changing the structure, quality, or format of data, ensuring that insights drawn from the data are accurate and meaningful.

By employing Data Flows, users can carry out various operations, such as filtering, aggregating, or joining different data sources, enabling them to transform raw data into a form suitable for analysis. This capability enhances the data preparation process and streamlines the workflow within the Oracle Analytics environment, ultimately resulting in improved decision-making and data-driven insights.

The other choices, while they highlight aspects related to analytics and data usage, do not accurately represent the functionality of Data Flows in Oracle Analytics. Visualization tools focus on presenting data rather than transforming it, audio-visual elements pertain to presentations and not data processes, and methodologies for machine learning are broader strategies that encompass many other techniques beyond just data transformation.