What is the primary field that uses data, statistics, and computation to extract insights and support decisions?

The primary field that employs data, statistics, and computation to extract insights and support decision-making is data science. Data science is an interdisciplinary domain that combines various tools, algorithms, and scientific methods to analyze large amounts of data. It seeks to uncover patterns, draw conclusions, and provide recommendations based on data analysis, which is crucial for informed decision-making in various sectors.

Data science encompasses a range of techniques, including data mining, predictive modeling, and machine learning, allowing practitioners to handle complex datasets and derive meaningful insights that can guide business strategies, enhance products, and improve services.

In contrast, data engineering focuses on the architecture and infrastructure needed to process and store data effectively but does not primarily deal with extracting insights. Data analytics is more narrowly focused on analyzing historical data to find trends and make decisions but does not necessarily encompass the broader methodologies and theoretical foundations inherent in data science. Data visualization, while an important aspect of data communication, concentrates on representing data visually rather than conducting comprehensive analyses to extract insights. Thus, data science is the most encompassing and relevant field for the question posed.