What should companies strive for when optimizing processes through mining?

Optimizing processes through mining involves analyzing and improving workflows to enhance performance. The correct choice, adapting processes for improved efficiency, reflects the primary aim of process mining. This practice seeks to identify inefficiencies, bottlenecks, and other areas of waste within a process.

By utilizing data-driven insights, companies can implement changes that streamline operations, reduce cycle times, and ultimately lead to cost savings and better resource management. This approach supports innovation and agility, allowing businesses to respond more effectively to market demands and customer needs.

In contrast, the other options suggest a lack of progress. Reverting to traditional methods would mean abandoning the benefits provided by modern data analysis tools. Increasing costs and delays clearly runs counter to the intent of process optimization, which aims to reduce them. Maintaining the status quo does not foster growth or improvement, which is contrary to the goals of an organization looking to enhance its operational efficiency through process mining insights.