What is one of the main tasks involved in the "Analyze Data" domain of business data analytics?

The primary task involved in the "Analyze Data" domain of business data analytics is to perform data analysis. This task is critical as it encompasses the processes of examining, cleaning, transforming, and modeling data with the objective of discovering useful information, informing conclusions, and supporting decision-making. Data analysis allows business analysts to derive insights from datasets, identify trends and patterns, and evaluate data quality, which ultimately supports strategic business actions.

In the context of business data analytics, performing data analysis includes various techniques such as statistical analysis, predictive modeling, and data visualization. This analytical work is foundational, as it directly informs other business functions and decisions based on accurate and meaningful data insights, making it the central focus of this domain.

The other options involve activities that, while relevant to business functions, do not directly reflect the core activity of data analysis itself. Developing advertising strategies and creating budget proposals may use data-driven insights but are not focused on the analysis of data. Conducting market surveys can be a method to gather data, but the act of analyzing that data falls under the specified task. Thus, performing data analysis is the most appropriate choice that aligns with the core objectives of the "Analyze Data" domain in business data analytics.