How can data analytics enhance workflow design?

Data analytics enhances workflow design primarily by providing insights into performance and identifying areas for improvement. This approach uses quantitative methods to analyze data from processes, workflows, and team activities, enabling organizations to understand how well their workflows are functioning. Through metrics such as time taken to complete tasks, error rates, and resource utilization, data analytics uncovers patterns that might not be visible through anecdotal or subjective information. Consequently, teams can pinpoint inefficiencies, bottlenecks, or underperformance, thereby informing strategic adjustments to optimize workflows.

The correct answer emphasizes the objective nature of data analytics, which is focused on deriving actionable insights rather than relying on subjective opinions or incomplete data. By harnessing this information, organizations can make informed decisions that lead to continuous improvement in their processes.