What activities are involved in making data-driven business decisions?

Making data-driven business decisions primarily involves activities that enhance understanding and usability of data for informed decision-making. The correct answer emphasizes three critical steps: capturing data, correlating the data to identify relationships or trends, and converting it into meaningful reports that can be utilized for decision-making.

Capturing data is fundamental, as it provides the raw information needed for analysis. Once data is collected, correlating it allows businesses to see connections between different data points, which can reveal insights that might not be obvious from isolated data alone. Converting this combined data into reports is essential because it presents the information in a format that decision-makers can easily comprehend and act upon.

This approach aligns with the data-driven decision-making process because it ensures that the information presented is relevant, actionable, and tailored to the specific needs of the business or project at hand. By focusing on capturing, correlating, and reporting data, organizations can make more accurate and effective business decisions.

The other choices may include valuable activities related to data use, but they do not encompass the full scope of making data-driven decisions in the same structured manner as the correct answer. For example, surveying customers for feedback is indeed important for understanding customer needs but is a separate activity from the analytical processes necessary for making data