Let me clarify this by sharing my experience with Control-M. In my previous projects, I have used Control-M extensively to schedule and automate ETL and data integration jobs. Typically, I would design workflows in Control-M to trigger SSIS packages and other data movement tasks at specific times or based on dependencies, such as the arrival of a file or completion of upstream processes. For reliability, I set up job dependencies, alerts, and automatic retries in case of failures. I also configured notifications so that the team would be immediately informed if any job failed or ran longer than expected. To ensure timely execution, I regularly monitored job performance and adjusted schedules as needed to avoid resource contention during peak hours. This approach helped us maintain consistent data flow and minimized downtime in the production environment.