In Celonis, what type of analytics supports users in identifying areas for improvement?

Process analytics is a key component of Celonis that specifically facilitates the identification of areas for improvement within business processes. It focuses on analyzing the actual flow of processes based on real data to uncover inefficiencies, bottlenecks, and deviations from the expected process pathways. By visualizing how processes are executed, users can pinpoint specific steps that may be overly lengthy, redundant, or problematic, thus offering clear insights into where enhancements can be made.

In contrast, other forms of analytics, such as sentiment analysis, primarily deal with gauging public opinion or emotions from textual data, which is less relevant to the structural inefficiencies of business processes. Predictive analysis aims to forecast future outcomes based on historical data, but does not directly provide insights into current process inefficiencies. Descriptive analysis, while useful for summarizing historical data to understand trends, does not specifically focus on identifying specific areas for improvement in the same way process analytics does.