Final answer:
Option 4, which entails merging sales and advertising data and deploying it into a business intelligence tool, requires an ETL process. This involves extracting data from different sources, transforming it, and loading it into a target system.
Step-by-step explanation:
The question relates to the process known as ETL, which stands for Extract, Transform, Load. This is a procedure often used in data warehousing that involves extracting data from various sources, transforming the data into a format suitable for analysis and reporting, and finally loading it into the end target system, such as a data warehouse or database.
Among the provided options, the example that would require an ETL process is Option 4: Merging sales data with advertising data and deploying the merged data into a business intelligence tool. This is because it involves integrating data from different sources (sales and advertising), transforming this data for consistency and analysis, and then loading it into a system designed for intelligence and decision-making, such as a business intelligence tool.