As most mature continuous improvement programs will attest, deploying manual process mapping methodologies can be time-consuming activities that are prone to gross inaccuracies due to stakeholders’ and subject matter experts’. Subjectivity, partiality, limited scope, or poor visibility within a given process. Process mining is an emerging technology and discipline that seeks to correct these critical flaws in traditional process mapping by using computational algorithms that can quickly and objectively reengineer process models solely from event logs without using any other a priori information. These process models can be further enriched with attribute data to enable advanced data exploratory and mapped to your overall process landscape. Furthermore, process mapping creates the foundation to build an end-to-end automation strategy for cross-application, human-centric workflows with a low-code approach. Combining Process Mining and Workflow Automation results in high user adoption and quick, consistent ROI delivery.
● Understand the core concepts of process mining: discovery, conformance, and enhancement
● Map and publish processes throughout your organization
● Automate human-centric workflows with a low-code approach.
● How to leverage process mining and workflow automation in an integrated approach