What is data analytics?

Data analytics is defined as the science of analyzing raw data to draw meaningful conclusions and insights from it. This process involves using various statistical, computational, and analytical techniques to evaluate and interpret complex datasets, thereby enabling organizations to make informed decisions based on data-driven evidence.

This understanding of data analytics highlights its primary function: transforming unprocessed data into actionable knowledge. It encompasses various practices such as data mining, statistical analysis, and predictive modeling, all aimed at extracting patterns that can inform strategic objectives.

The other choices describe related concepts but do not encapsulate the essence of data analytics itself. Collecting data refers to the initial gathering of raw information, while storage pertains to how data is kept for future use. Data entry involves inputting data into systems but does not imply any analysis or insights derived from that data. Each of these functions plays a role in the larger data lifecycle but does not define the analytical process that seeks to interpret and utilize the data effectively.