Data analytics can help identify & avoid bottlenecks in cloud computing infrastructure by providing real-time insights into resource usage, workload distribution & system performance. By analyzing metrics e.g. CPU, memory & network bandwidth utilization, along with monitoring traffic patterns, you can proactively detect areas of congestion or overuse. Predictive analytics can also forecast demand spikes, enabling dynamic scaling to allocate additional resources before performance dips occur. Regularly analyzing logs & performance trends allows for the optimization of load balancing, storage management & overall system efficiency, ensuring smoother, better performing cloud operations.

Wording issue: Point three - 'implement automated alerts AGAINST abnormal activity, ensuring immediate attention to potential issues.' That can be done, not leaning heavily on the aspect of automation but trusting also human check and alert system updates. Staying too long away from the 'steering' might cause a runaway problem.