Process Analytics and Business Intelligence (BI) serve different but complementary purposes:

• Business Intelligence (BI): BI is valuable for identifying metrics and trends. For example, it can tell you that sales last quarter were 20% greater than the same quarter last year, with products A and B as the main contributors. However, BI doesn't provide insights into why product C's deals are taking longer to close this year compared to last year.
• Process Analytics (Process Mining): Process analytics excels at pinpointing specific process-related issues. It reveals exactly where in the process problems are arising. For instance, it can identify that product C's delays are due to a lengthier contracting process. Process analytics complements BI by diving deep into process efficiency and effectiveness, offering insights that traditional BI may miss.