What is defined as the science of examining raw data to draw conclusions?

The concept that is defined as the science of examining raw data to draw conclusions is accurately represented by data analytics. This field encompasses the processes and methods used to inspect, clean, transform, and model data with the aim of discovering useful information, informing conclusions, and supporting decision-making. By applying statistical and computational techniques, data analytics enables analysts to identify trends, patterns, and correlations within the data, leading to actionable insights.

Data management, while essential, focuses more on the overall administration and governance of data, including storing, securing, and ensuring data quality rather than directly analyzing it. Data mining similarly involves extracting patterns and knowledge from large amounts of data but is often more associated with the discovery process rather than the analytical methods applied to draw conclusions. Data interpretation involves making sense of data and presenting the findings, but it is a stage that typically follows the analysis rather than being synonymous with the science of examining data itself.