Final answer:
This is an example of data-driven decision-making in restaurant business operations, aimed at optimizing staffing schedules to align with customer traffic patterns.
Step-by-step explanation:
The observation by a data analyst that there are significantly fewer customers earlier in the business day and the subsequent conclusion that opening later would be more effective for staffing is an example of data-driven decision-making in business operations. This strategic approach, which involves analyzing customer traffic patterns, enables the restaurant to optimize staff schedules, likely leading to cost savings and improved efficiency during peak business hours. By focusing on times with higher customer volume, the restaurant can ensure an adequate number of staff members are available when they are needed the most, thereby enhancing customer service and potentially increasing revenue.